{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7821851","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3414608,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7821851,"updated_at":"2026-04-16T21:57:48-04:00","requisition_id":"3145","title":"Director, Engineering, Create","company_name":"DeepMind","first_published":"2026-04-16T21:57:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Artificial intelligence will be one humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an Engineering Director, you will lead the Create strategy. Teams within Create focus on empowering users to generate and refine various forms of content, from visual media to generative music. The teams also work on developing robust content input and understanding capabilities to seamlessly integrate users\u0026#39; ideas.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In addition to these areas, you will work closely with Product Management, User Experience, and Data Science to improve these features and to build new LLM-forward capabilities into the Gemini App product. You will deploy capabilities that drive daily usage of the product. To build out these features, each of your areas have a deep connection to Generative AI (Gen AI). You will partner closely with different Gen AI counterparts to quickly bring the latest and greatest model capabilities from Google DeepMind\u0026#39;s Gen AI unit into the product.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Your core responsibilities will include:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and execute the overall technical strategy for the Create area within Gemini App, aligning with the broader product outlook and driving daily usage. Lead and manage multiple engineering teams focused on features like content input and understanding, and content generation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with Product Management, User Experience, and Data Science leads to define product roadmaps and deliver new LLM-forward capabilities. Drive the integration of GenAI model capabilities into Gemini App products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a culture of innovation, collaboration, and rapid iteration within the engineering teams. Establish and track key performance indicators for the Create area, focusing on DAU for Gemini App.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage cross-functional dependencies and collaborations with Gen AI, Workspace, Labs, and others as required to deliver great features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure the scalability, reliability, and performance of Create-related features.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Candidate Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science or Engineering, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;15 years of experience in software engineering, building and working with systems in the technology organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7 years of experience managing teams of software engineers and managers of software engineers.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Master\u0026#39;s or PhD degree in Computer Science, or a related technical field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience incubating and scaling new product initiatives from conception (0 to 1) to broad adoption in a fast-paced or startup environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise and direct experience in the application and deployment of large-scale AI/Machine Learning systems, particularly in generative AI for consumer products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $307,000 - $427,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our\u0026lt;a href=\u0026quot;https://careers.google.com/privacy-policy/\u0026quot;\u0026gt; Applicant and Candidate Privacy Policy\u0026lt;/a\u0026gt;.isted for the position, we will contact you to set up an initial interview where you will have the opportunity to ask questions and learn more about the position.\u0026lt;a href=\u0026quot;https://docs.google.com/document/d/1dKYBzpbPDKJHw7toWw46-TfsHWq3Utw662aPlYbtdIE/edit?usp=sharing\u0026amp;amp;resourcekey=0-pBOwvHcdszgA6t7-C7OVSw\u0026quot;\u0026gt; \u0026amp;nbsp;\u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;","departments":[{"id":238125,"name":"GeminiApp","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7135001","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3210709,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7135001,"updated_at":"2026-01-26T04:49:14-05:00","requisition_id":"1952","title":"Director of Product Management, Robotics","company_name":"DeepMind","first_published":"2025-09-24T10:41:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Snapshot:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As Director of Product Management for Robotics you will provide overall Product leadership for DeepMind’s Robotics program. You\u0026#39;ll be responsible for setting the holistic product strategy for our Gemini powered robotic systems, driving product roadmap execution, and cultivating a robust ecosystem. This is a unique opportunity to shape the future of intelligent robotics and push the frontier of our capabilities and end product offerings.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;As the Director of Product Management for Robotics, you\u0026#39;ll provide comprehensive product leadership, guiding the entire lifecycle of our robotic systems from concept to launch and beyond. You\u0026#39;ll work closely with our Robotics Research and our Model teams to define and deliver cutting-edge products that integrate artificial intelligence and Gemini model capabilities to achieve enhanced functionality and autonomy.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Product Vision \u0026amp;amp; Strategy: Define and evangelize the long-term product vision and strategy for our robotics portfolio.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Roadmap Development: Own the end-to-end product roadmap for robotics, prioritizing features, capabilities, and new product introductions based on market analysis, customer needs / use cases, and technological advancements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI Integration Leadership: Help drive the integration of Gemini models and their capabilities into our robotic systems, identifying opportunities to enhance autonomy, perception, decision-making, and user interaction through intelligent algorithms and machine learning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ecosystem Development: Build and nurture strategic partnerships with key technology providers, academic institutions, and industry players to expand our robotics ecosystem and unlock new capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Market \u0026amp;amp; Customer Insight: Identify unmet needs, use cases, emerging trends, and new business opportunities in the robotics space.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-Functional Leadership: Collaborate closely with Research, Program Management, and Marketing teams to ensure seamless product development, successful launches, and effective go-to-market strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Performance Measurement: Define and track key product metrics, utilizing data-driven insights to evaluate product performance, identify areas for improvement, and inform future product decisions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Skills \u0026amp;amp; Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Director of Product Management at Google DeepMind,\u0026amp;nbsp; we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Graduate degree in Robotics or Customer ScienceBachelor\u0026#39;s degree in Engineering, Computer Science, Robotics, or a related technical field and a Masters degree in Robotics or Computer Science.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience in product management, with at least 5 years in a leadership role focused on AI / Foundation models, robotics, or highly technical hardware/software products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;At least 5 years of management experience, including managing senior PMs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;In addition, the following would be an advantage:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience with robotic systems that leverage AI for enhanced functionality, autonomy, or intelligent behavior.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of AI/ML concepts, frameworks, and their application in real-world robotic systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to define and execute product strategies, build detailed roadmaps, and successfully launch innovative products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional leadership and communication skills, with the ability to manage strategic partnership, influence cross-functional teams, and present complex technical information clearly to diverse audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical and problem-solving skills, with a data-driven approach to product decisions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;The US base salary range for this full-time position is between $272,000 - $383,000 + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made\u0026amp;nbsp;to you, any offer of employment will be conditional on the results of a background\u0026amp;nbsp;check, performed by a third party acting on our behalf. For more information on how\u0026amp;nbsp;we handle your data, please see our \u0026lt;a href=\u0026quot;https://www.google.com/about/careers/applications/privacy-policy/\u0026quot;\u0026gt;Applicant and Candidate Privacy Policy.\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7542765","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3339047,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7542765,"updated_at":"2026-03-25T18:02:20-04:00","requisition_id":"2752","title":"Director, UX, GeminiApp, Growth and Discovery","company_name":"DeepMind","first_published":"2026-03-25T18:02:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h4\u0026gt;Snapshot\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the\u0026amp;nbsp;art in artificial intelligence. We use our technologies for widespread\u0026amp;nbsp;public benefit and scientific discovery, and collaborate with others on\u0026amp;nbsp;critical challenges, ensuring safety and ethics are the highest priority.\u0026amp;nbsp;We don’t set limits based on what others think is possible or impossible.\u0026amp;nbsp;We drive ourselves and inspire each other to push boundaries and\u0026amp;nbsp;achieve ambitious goals.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;The Area: Gemini App\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;The Gemini App is at the forefront of the AI revolution, bringing helpful,\u0026amp;nbsp;generative AI experiences to users across the globe. We are seeking a\u0026amp;nbsp;visionary Design Leader to lead the strategy that will define the future of\u0026amp;nbsp;our product.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;The Role\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;As a leader, you will use your UX expertise to innovate and push the\u0026amp;nbsp;bounds of what the Gemini App can be for our customers. Your passion\u0026amp;nbsp;for design and obsession with craft and quality are infectious, and your\u0026amp;nbsp;creative perspective is informed by a deep awareness of cultural,\u0026amp;nbsp;aesthetic, and artistic trends.\u0026amp;nbsp;The Growth \u0026amp;amp; Discovery Lead is responsible for the \u0026quot;First Mile\u0026quot; of the\u0026amp;nbsp;user journey. Your mission is to solve the \u0026quot;blank page\u0026quot; problem—ensuring\u0026amp;nbsp;that every user who downloads the Gemini app immediately discovers\u0026amp;nbsp;its value and integrates it into their daily life through intuitive onboarding\u0026amp;nbsp;and feature education.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Onboarding Excellence: Own the end-to-end mobile\u0026amp;nbsp;onboarding flow. You will ruthlessly eliminate friction, ensuring\u0026amp;nbsp;users reach their first \u0026quot;Aha!\u0026quot; moment within seconds of\u0026lt;br\u0026gt;installation.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Discovery Engine Design: Create contextual UI \u0026quot;hooks\u0026quot; and\u0026amp;nbsp;educational prompts that teach users how to harness Gemini’s\u0026amp;nbsp;unique mobile features, such as \u0026quot;Live\u0026quot; voice and camera-based\u0026amp;nbsp;reasoning.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Data-Informed Iteration: Partner with Growth Marketing to run\u0026amp;nbsp;high-velocity A/B tests on app entry points, home-screen\u0026amp;nbsp;widgets, and subscription conversions.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;p\u0026gt;Viral Growth Loops: Design product-led growth mechanisms\u0026amp;nbsp;that make Gemini content easily shareable, driving organic\u0026amp;nbsp;adoption and network effects.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In order to set you up for success, \u0026amp;nbsp;we look for the following skills and experience:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Minimum: 15+ years of experience in User Experience / Design,\u0026amp;nbsp;with experience establishing UX best practices for emerging\u0026amp;nbsp;technologies or ambiguous problem spaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years in Product Design with a specialized focus on Growth,\u0026amp;nbsp;PLG, or User Acquisition.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mastery of behavioral psychology and using data to inform\u0026amp;nbsp;high-craft design decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to influence executive stakeholders and\u0026amp;nbsp;drive product strategy.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred background includes one or any combination of the following:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Master\u0026#39;s degree or Ph.D. in a design-related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with AI/ML and agentic technologies; Depth and\u0026amp;nbsp;breadth of knowledge that enables ideation and development of\u0026amp;nbsp;creative solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our \u0026lt;a href=\u0026quot;https://www.google.com/about/careers/applications/privacy-policy/\u0026quot;\u0026gt;Applicant and Candidate Privacy Policy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The US base salary range for this full-time position is between $275,000 USD - $383,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":238125,"name":"GeminiApp","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7662676","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3373145,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7662676,"updated_at":"2026-03-24T17:31:43-04:00","requisition_id":"3018","title":"Distinguished Designer, Gemini App Systems","company_name":"DeepMind","first_published":"2026-03-24T17:27:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h4\u0026gt;Snapshot\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the\u0026amp;nbsp;art in artificial intelligence. We use our technologies for widespread\u0026amp;nbsp;public benefit and scientific discovery, and collaborate with others on\u0026amp;nbsp;critical challenges, ensuring safety and ethics are the highest priority.\u0026amp;nbsp;We don’t set limits based on what others think is possible or impossible.\u0026amp;nbsp;We drive ourselves and inspire each other to push boundaries and\u0026amp;nbsp;achieve ambitious goals.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;The Area: Gemini App\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;The Gemini App is at the forefront of the AI revolution, bringing helpful,\u0026amp;nbsp;generative AI experiences to users across the globe. We are seeking a\u0026amp;nbsp;visionary Design Leader to lead the strategy that will define the future of\u0026amp;nbsp;our product.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;The Role\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;In this critical role, you will be responsible for defining and visioning the\u0026amp;nbsp;user experience, driving design excellence, and fostering a culture of\u0026amp;nbsp;innovation across Gemini. You will work closely with product\u0026amp;nbsp;management, engineering, and research teams to deliver an intuitive,\u0026amp;nbsp;powerful, and aesthetically pleasing experience for the needs of users\u0026amp;nbsp;globally.\u0026amp;nbsp; \u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Distinguished Designer is the technical soul of the Gemini interface.\u0026amp;nbsp;You are responsible for the bridge between cutting-edge machine\u0026amp;nbsp;learning and pixel-perfect mobile implementation. You will architect the\u0026amp;nbsp;systems that allow Gemini to feel \u0026quot;as fast as thought\u0026quot; while maintaining\u0026amp;nbsp;world-class stability and performance.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architecting the AI-UI Bridge: Design the technical frameworks\u0026amp;nbsp;for iOS and Android that handle non-deterministic AI outputs\u0026amp;nbsp;(streaming audio/visuals) with zero jitter and maximum fluidity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Performance Engineering: Own the \u0026quot;Gold Standard\u0026quot; for mobile UI latency. You will optimize rendering and state management to handle complex multimodal requests without compromising battery life or device thermals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI-Augmented Tooling: Build and deploy internal \u0026quot;Design-to-Code\u0026quot; pipelines that allow the design team to use Gemini to automate UI generation and live-model prototyping.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical North Star: Establish UX best practices for emerging technologies or ambiguous problem spaces. Mentor senior individual contributors and engineers at the intersection of UI development and AI inference.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In order to set you up for success, \u0026amp;nbsp;we look for the following skills and experience:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Minimum: 15+ years of experience in User Experience / Design, with experience establishing UX best practices for emerging technologies or ambiguous problem spaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical Mastery: Expert-level mastery of mobile frameworks (Flutter, Swift, Kotlin, or React Native) and front-end performance for real-time applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leadership: Demonstrated track record of shipping and scaling flagship consumer applications across platforms.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred background includes one or any combination of the following:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Master\u0026#39;s degree or Ph.D. in a design-related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with AI/ML and agentic technologies; Depth and breadth of knowledge that enables ideation and development of creative solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our \u0026lt;a href=\u0026quot;https://www.google.com/about/careers/applications/privacy-policy/\u0026quot;\u0026gt;Applicant and Candidate Privacy Policy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The US base salary range for this full-time position is between $323,000 USD - $449,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":238125,"name":"GeminiApp","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7738449","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3394744,"location":{"name":"London, UK"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7738449,"updated_at":"2026-04-08T16:59:34-04:00","requisition_id":"3107","title":"Executive Business Partner Program Manager","company_name":"DeepMind","first_published":"2026-03-20T06:14:48-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;Snapshot\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Executive Business Partner Program Manager\u0026#39;s play a key role in the delivery and management of a mission-focussed and effective E/ABP program. Day-to-day, you will partner closely with E/ABPs across the community, providing them with coaching and guidance to optimise their impact, as well as fostering strong relationships with a diverse, complex, and senior stakeholder group, ensuring that the community excels and adapts to evolving business needs.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;About Us\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with the E/ABP Lead and other Executive Business Partner Program Manager\u0026#39;s to lead, develop and nurture the global GDM E/ABP community.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with senior stakeholders to manage the E/ABP community’s capacity and determine leadership partnering bundles by objectively assessing leadership support requirements and providing the information required to make informed decisions in line with the E/ABP program objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage a team of E/ABPs by setting expectations for each of your reports aligned to their role, level, and organisational goals. Provide regular feedback and coaching, invest in their development, assess their performance and regularly meet with the leader(s) they partner with for feedback. Recognize achievements and hold team members accountable against expectations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure appropriate metrics, roles, and people are in place to meet organisational goals. Make prioritisation decisions, equitably allocate work, and manage resources to deliver business impact for GDM.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage through change to deliver results by demonstrating good judgement, making and communicating adjustments and removing obstacles to ensure goals can be met during times of change. Encourage innovation and thoughtful risk taking to deliver business impact for GDM. Balance short term needs with longer term business goals and the E/ABP program strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Take ownership of the E/ABP hiring strategy, planning and execution in partnership with our Talent Acquisition team to make equitable hiring and talent decisions across the team to meet current and future business needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure that community norms create belonging, psychological safety, and respect. Facilitate collaboration and open communication to help teams achieve results together.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Encourage wellbeing by checking in with each E/ABP you manage and provide appropriate resources to support wellbeing as needed. Set the team up for sustained high performance by actively reprioritizing or redistributing work as demands on the community change.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Role model and make decisions and support activities that align to GDM’s values, policies and practices. Encourage community \u0026amp;nbsp;members to positively contribute to GDM and recognize them for doing so.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;About you\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In order to set you up for success as a Executive Business Partner Program Manager at Google DeepMind, \u0026amp;nbsp;we look for the following skills and experience:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Team Management experience: an understanding of and continued investment in growing the skills and capabilities required to lead work, develop people, and build community.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to build trusting, collaborative relationships and rapport across all stakeholders groups and business areas. You confidently share your expertise and opinions and influence Leaders, reports and collaborators to make informed decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A resilient nature, you remain calm, implementing changes as required, seeking understanding and learning from any setbacks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You identify and take ownership for developing solutions to problems independently and improve ways of working, tools or processes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience managing teams across offices and timezones\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of the E/ABP role and/or experience developing individuals within a supportive function\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working closely with senior stakeholders to deliver against business needs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;","departments":[{"id":90439,"name":"Central Operations, Responsibility, and Engagement","child_ids":[],"parent_id":null}],"offices":[{"id":45977,"name":"London, UK","location":null,"child_ids":[],"parent_id":209543}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7793606","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3407901,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7793606,"updated_at":"2026-04-28T15:49:53-04:00","requisition_id":"3140","title":"Executive Business Partner Program Manager (Fixed Term Contract - 18 months)","company_name":"DeepMind","first_published":"2026-04-14T16:46:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;Snapshot\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Executive Business Partner Program Manager\u0026#39;s play a key role in the delivery and management of a mission-focussed and effective E/ABP program. Day-to-day, you will partner closely with E/ABPs across the community, providing them with coaching and guidance to optimise their impact, as well as fostering strong relationships with a diverse, complex, and senior stakeholder group, ensuring that the community excels and adapts to evolving business needs.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;About Us\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with the E/ABP Lead and other E/ABP Program Manager\u0026#39;s to lead, develop and nurture the global GDM E/ABP community.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with senior stakeholders to manage the E/ABP community’s capacity and determine leadership partnering bundles by objectively assessing leadership support requirements and providing the information required to make informed decisions in line with the E/ABP program objectives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage a team of E/ABPs by setting expectations for each of your reports aligned to their role, level, and organisational goals. Provide regular feedback and coaching, invest in their development, assess their performance and regularly meet with the leader(s) they partner with for feedback. Recognize achievements and hold team members accountable against expectations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure appropriate metrics, roles, and people are in place to meet organisational goals. Make prioritisation decisions, equitably allocate work, and manage resources to deliver business impact for GDM.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage through change to deliver results by demonstrating good judgement, making and communicating adjustments and removing obstacles to ensure goals can be met during times of change. Encourage innovation and thoughtful risk taking to deliver business impact for GDM. Balance short term needs with longer term business goals and the E/ABP program strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Take ownership of the E/ABP hiring strategy, planning and execution in partnership with our Talent Acquisition team to make equitable hiring and talent decisions across the team to meet current and future business needs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure that community norms create belonging, psychological safety, and respect. Facilitate collaboration and open communication to help teams achieve results together.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Encourage wellbeing by checking in with each E/ABP you manage and provide appropriate resources to support wellbeing as needed. Set the team up for sustained high performance by actively reprioritizing or redistributing work as demands on the community change.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Role model and make decisions and support activities that align to GDM’s values, policies and practices. Encourage community \u0026amp;nbsp;members to positively contribute to GDM and recognize them for doing so.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;About you\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In order to set you up for success as a Executive Business Partner Program Manager at Google DeepMind, \u0026amp;nbsp;we look for the following skills and experience:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Team Management experience: an understanding of and continued investment in growing the skills and capabilities required to lead work, develop people, and build community.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to build trusting, collaborative relationships and rapport across all stakeholders groups and business areas. You confidently share your expertise and opinions and influence Leaders, reports and collaborators to make informed decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A resilient nature, you remain calm, implementing changes as required, seeking understanding and learning from any setbacks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You identify and take ownership for developing solutions to problems independently and improve ways of working, tools or processes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience managing teams across offices and timezones\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of the E/ABP role and/or experience developing individuals within a supportive function\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working closely with senior stakeholders to deliver against business needs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $136,000 - $197,000 + bonus + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our\u0026lt;/em\u0026gt;\u0026lt;a href=\u0026quot;https://careers.google.com/privacy-policy/\u0026quot;\u0026gt;\u0026lt;em\u0026gt; \u0026lt;/em\u0026gt;\u0026lt;em\u0026gt;Applicant and Candidate Privacy Policy\u0026lt;/em\u0026gt;\u0026lt;/a\u0026gt;\u0026lt;em\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":90439,"name":"Central Operations, Responsibility, and Engagement","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7739345","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3395017,"location":{"name":"London, UK"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7739345,"updated_at":"2026-03-20T13:11:53-04:00","requisition_id":"3108","title":"Global Event Programs Lead, Global Events \u0026 Experiences  - 12 Months FTC","company_name":"DeepMind","first_published":"2026-03-20T13:11:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Snapshot\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a trailblazing Global Event Programs Lead on a fixed term contract\u0026amp;nbsp; to develop and deliver pioneering events and experiences for one of the most innovative organisations of our time. This isn\u0026#39;t just about event management; it’s about harnessing strategic creativity to lead a high performing team in an era where AI is redefining what’s possible.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will design the physical touchpoints and experiences that bring our technology to life, build trust in our mission, and foster the deep, interdisciplinary collaboration required to \u0026quot;solve intelligence.\u0026quot;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals. We constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities to extensive manager support, we strive to support our people and their needs as effectively as possible.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As the Global Event Programs Lead, you will report directly to the Director of Global Events and Experiences, partner closely with the Event Operations Lead, and lead a team of 8 dedicated event managers. This role is global covering Americas, EMEA and APAC.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Internal Impact:\u0026lt;/strong\u0026gt; You will curate experiences for 5,500+ of the world’s leading minds. From high-stakes hackathons to cross-disciplinary summits, your work ensures that we maximise our impact across Google DeepMind and Google, keeping our culture as innovative as our research.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;External Frontier:\u0026lt;/strong\u0026gt; You will build events that engage the global scientific, education, health, and business communities, as well as government bodies and the public. As we enter uncharted territory, you will create unique, high-trust experiences that demonstrate how AI can be a force for widespread public benefit.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design a global events portfolio that mirrors GDM’s position on the frontier of science and technology.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cultivate trusted relationships with senior internal stakeholders, providing expert partnership and thought leadership to teams across Google DeepMind and Google.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure flawless delivery by employing best-in-class event project management and operational rigor.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive impact by constantly iterating and innovating event formats at pace to increase engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain curiosity in the AI landscape and events industry, using global insights to inform our engagement strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and develop a team of 8 event managers based in London, UK and Mountain View, California.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deputise for the Director of Global Events \u0026amp;amp; Experiences when required.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Agency/Vendor management, budget management, and compliance with health, safety, and security governance.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About You\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You are motivated by the opportunity to work for a mission-driven organisation where events are integral. In this role, you aren’t following a playbook—you’re writing it!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To set you up for success, we are looking for:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Senior-level experience leading complex internal and external event programmes, ideally within a high-growth technology or scientific environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI Fluency: A deep curiosity for the AI landscape and a track record of using emerging technology to enhance human connection.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The ability to \u0026quot;join the dots\u0026quot; across a complex global organisation, moving beyond execution to design holistic strategies that maximise impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;A proven mentor who can inspire a team of 8 across different time zones, fostering a culture of excellence and bold experimentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A creative mindset with the ability to take nascent, complex scientific concepts and translate them into world-class tangible experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A confident and influential communicator who builds trusted partnerships with senior leadership, stakeholders and partners.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Resilience \u0026amp;amp; Agility: The ability to lead through ambiguity and change,\u0026amp;nbsp; in a fast-paced, high-stakes environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional project and budget management skills\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A collaborative, inclusive approach\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Flexibility to travel internationally.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know\u0026lt;/p\u0026gt;","departments":[{"id":90439,"name":"Central Operations, Responsibility, and Engagement","child_ids":[],"parent_id":null}],"offices":[{"id":45977,"name":"London, UK","location":null,"child_ids":[],"parent_id":209543}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7106323","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3203192,"location":{"name":"London, UK"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Engineering","value_type":"single_select"}],"id":7106323,"updated_at":"2026-05-04T14:13:37-04:00","requisition_id":"1906","title":"Manager, Applied AI Engineering","company_name":"DeepMind","first_published":"2025-07-25T10:57:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Snapshot\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Manager, Applied AI to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google \u0026amp;amp; top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for a manager with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product \u0026amp;amp; business impact, and develop strong relationships with research teams.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About us\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This role requires a strong software engineering foundation, a passion for building and iterating on software products, and proven leadership skills. We are looking for a manager who thrives in fast-paced environments, and has the proven ability to deliver high-quality code \u0026amp;amp; guide a team to success. Experience in end-to-end development is essential, as is the ability to mentor and develop junior engineers. We particularly value experience in early-stage or startup environments, where managers take ownership and drive product development from the ground up.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead a team in the design and development of scalable software applications leveraging generative AI models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide the team in rapidly developing new features and iterating based on evaluation results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with researchers and product managers to translate research advancements into tangible product features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Oversee the optimization of software performance and ensure the reliability of deployed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion the development of best practices for building and deploying generative AI applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the architecture and development of new products \u0026amp;amp; features from 0 to 1.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and develop team members, fostering a collaborative and high-performing environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with PM team to qualify \u0026amp;amp; size new project opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About you\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Manager, Applied AI at Google DeepMind, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Required Skills\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience managing software engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong software engineering skills; proficiency in Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in developing and shipping software products rapidly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience evaluating model performance, analyzing results, and implementing improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Substantial experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work in a fast-paced environment and adapt to changing priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication, collaboration, and leadership skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred Skills\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with generative AI research or applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with front-end development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in, or founding early-stage startups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience delivering software solutions in a fast-paced, customer-facing environment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;If you are a passionate machine learning engineering leader with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":45977,"name":"London, UK","location":null,"child_ids":[],"parent_id":209543}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7786257","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3406708,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7786257,"updated_at":"2026-05-15T13:21:10-04:00","requisition_id":"3136","title":"Market Insights and Strategy Partner (12 month FTC)","company_name":"DeepMind","first_published":"2026-04-07T13:20:51-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a dedicated scientific community, committed to building AI responsibly to benefit humanity. \u0026amp;nbsp; We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Mission:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At DeepMind, our success is defined by our ability to attract the brilliant minds who are building the future of AI. To stay ahead, our Talent Acquisition team must operate with a predictive, intelligence-driven edge. We are looking for a visionary builder to be the architect and hands-on engineer of this critical capability.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a unique, hybrid role for an individual who thrives on translating ambitious vision into tangible reality. You will be entrusted to own the market intelligence function from concept to execution—shaping the strategy and personally building the automated tools that will define our competitive edge. This requires a leader who is as comfortable advising executive leadership as they are building a new analytical agent.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Do:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect the Intelligence Engine:\u0026lt;/strong\u0026gt; You won\u0026#39;t just manage a system; you will design, code, and build it. From the ground up, you will create our centralized, AI-powered Market Intelligence Hub, automating data gathering, building analytical agents, and producing the insights that give us a competitive edge.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Serve as the Principal Advisor:\u0026lt;/strong\u0026gt; You are the central point that bridges our entire intel ecosystem. You will serve as the key advisor to TA leadership, bringing clarity and strategy to define how we leverage our current team, external agencies, and internal partnerships, and integrating them into one powerful function.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Deliver Actionable Intelligence:\u0026lt;/strong\u0026gt; Your primary output will be a continuous stream of strategic insights delivered directly to TA leadership. This includes automated dashboards, deep-dive reports on our core focus areas, and proactive alerts on market shifts, which will then be distributed to the wider organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive the Proactive Agenda:\u0026lt;/strong\u0026gt; Design and execute a forward-looking intelligence program focused on our long-term bets. This means systematically talent mapping key domains, monitoring emerging research, and building the \u0026quot;early warning system\u0026quot; that prepares our team for the hiring needs of tomorrow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Implement Strategic Frameworks:\u0026lt;/strong\u0026gt; Develop and implement the data-driven frameworks that help leadership distinguish between the \u0026quot;loudest\u0026quot; and the most strategically critical hiring needs, ensuring our resources are always aligned with the highest-impact business goals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who You Are:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Minimum Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A background in research, analytics, or strategy, honed within a high-growth technology, management consulting, or executive search environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrable, hands-on experience using AI, automation scripts (e.g., Python), or advanced platforms to build agents, automate data gathering, or create analytical workflows.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience translating broad business problems into specific analytical and technical requirements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A true \u0026quot;founder\u0026quot; mindset with proven experience taking a high-level concept and single-handedly building it into a functional, scalable program.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep domain knowledge and an understanding of the key talent and players in at least one of our core areas: large-scale AI/ML, cybersecurity, or robotics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven track record of using data to craft compelling business cases and influence the strategic direction of senior leadership.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The ability to act with autonomy, navigate complex stakeholder environments, and bring structure to ambiguous, multi-faceted problems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":90439,"name":"Central Operations, Responsibility, and Engagement","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7761408","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3400400,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7761408,"updated_at":"2026-05-20T09:25:42-04:00","requisition_id":"3120","title":"People \u0026 Experience Delivery Partner - 12 months FTC, MTV","company_name":"DeepMind","first_published":"2026-03-27T11:55:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;About us\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Snapshot\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;The People \u0026amp;amp; Culture (P\u0026amp;amp;C) Experience \u0026amp;amp; Delivery Partner team provides responsive day to day P\u0026amp;amp;C support and generalist advice, operating as trusted advisors for Google DeepMind’s (GDM) Leaders and Managers. Working in close partnership with GDM P\u0026amp;amp;C Partners, they build leadership and manager capabilities, deliver operational excellence, and gather and analyse employee experience insights to support the P\u0026amp;amp;C needs of the organisation and drive high performance across GDM. Our team collaborates closely with other stakeholders across the GDM, Google, and Alphabet People \u0026amp;amp; Culture teams, including GDM P\u0026amp;amp;C Partners, to deliver a world-class employee experience.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We support the learning and development of each member of our team and provide both training and practical experience to support the cultivation of generalist expertise. This is an exciting and varied generalist role.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;This role is embedded in our People Operations team, which sits within the wider People and Culture (P\u0026amp;amp;C) team, and reports to a P\u0026amp;amp;C Experience \u0026amp;amp; Delivery Lead based in either London, UK or Mountain View, US. The role is location-aligned first and Unit-aligned second, working in close partnership with P\u0026amp;amp;C Partners within specific locations and Units.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Dynamic Coaching \u0026amp;amp; Advisor\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Provide dynamic and responsive coaching and advice for Leaders and Managers on policies, processes, and best practices related to key P\u0026amp;amp;C topics including performance management, development, employee lifecycle processes, policy exceptions.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide advice and guidance to Leaders and Managers dealing with specific challenges within their teams e.g. a retention or wellbeing issue, or interpersonal team conflict.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the development and delivery of scalable solutions to build Manager capability.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The trusted advisor for people policies, practices, and legislation in a specific location, supporting a wider range of complex challenges while mitigating risks.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide coaching and mentorship to more junior team members on complex issues e.g. providing guidance on difficult conversations, performance improvement plans.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;In partnership with P\u0026amp;amp;C Partners and relevant P\u0026amp;amp;C Centres of Excellence (CoEs), support the scoping, design, and delivery of training programs to build P\u0026amp;amp;C, Leader and Manager capabilities on relevant topics, specialising in areas where location-specific nuances are critical (e.g. employment law, cultural sensitivity).\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and make recommendations about how to address systemic issues affecting wellbeing and performance within specific locations e.g. conducting org assessments, analysing trends, and recommending initiatives.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Operational Excellence\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Execute and deliver P\u0026amp;amp;C initiatives, projects and cyclical processes, advising and collaborating with cross-functional teams.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with P\u0026amp;amp;C Partners to deliver Unit specific organisational efforts including reorgs, large scale performance management efforts and strategic initiatives that align with a Unit’s P\u0026amp;amp;C Strategy.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Independently manage employee lifecycle process e.g. Exits and Flexible working\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify the need for, and take responsibility for driving,\u0026amp;nbsp; process improvement initiatives, such as streamlining query management, improving processes and conducting root-cause-analysis on and resolving recurring issues.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The go-to-person within the PXD team for delivery of a cyclical process, overseeing delivery to a high standard, and ensuring that process changes are well understood.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Oversee delivery of process improvements, ensuring alignment with regional employment laws and cultural norms. This could involve collaborating with other teams cross-functionally to streamline workflows and improve the overall employee experience.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advise and guide others through ways of working, tools, or process improvements.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Employee Experience Insights\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Conduct analysis on relevant data, share themes and insights from analysis, and use the data to make recommendations and inform decisions.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct in-depth analysis of employee data, including engagement surveys, exit interviews, and performance reviews, to identify location-specific trends and develop targeted initiatives in partnership with CoEs and P\u0026amp;amp;C Partners.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Serve as a subject matter expert on employee experience within the relevant region, providing insights and recommendations to P\u0026amp;amp;C\u0026amp;nbsp; colleagues.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a People Experience \u0026amp;amp; Delivery Partner at Google DeepMind,\u0026amp;nbsp; we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Subject matter expertise: You proactively maintain up-to-date knowledge of the latest employment law, P\u0026amp;amp;C policies, trends, and best practices. You share your insights with others in your team and across P\u0026amp;amp;C.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Subject matter expertise: You are quick to develop a solid understanding of different business contexts and challenges, enabling smooth transitions into new areas.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communication \u0026amp;amp; interpersonal skills: You influence stakeholders to address complex problems, and effectively communicate complex information to diverse audiences.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Critical thinking \u0026amp;amp; problem-solving: You apply analytical and problem-solving skills to complex organizational challenges. You conduct thorough research, gather and interpret data, identify root causes, and develop innovative and effective solutions.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in working with global teams and navigating cultural differences.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in designing and delivering training programs, and process design.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in using data to drive HR decisions.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of HR trends and best practices.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A degree or professional certification in Human Resources Management or a related field\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Job posting salary range: 142,000 USD - 205,000 USD\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":90439,"name":"Central Operations, Responsibility, and Engagement","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7646114","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3368794,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7646114,"updated_at":"2026-03-19T12:04:59-04:00","requisition_id":"2976","title":"Product Manager, Information Quality, Frontier AI","company_name":"DeepMind","first_published":"2026-03-19T12:04:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h4\u0026gt;Snapshot\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;The Role\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;As a product manager at Google DeepMind you will be responsible for shipping cutting edge AI research breakthroughs into Google’s AI models and products. As a PM on Frontier AI within GDM you will be working with brilliant AI researchers who are focused on making the biggest advances across new model architectures, AGI and advanced applications like Agents and Robotics. As the PM for Information Quality within Frontier AI, your job will be to understand the implications of generative AI on the broader societal information ecosystem. You will tackle critical challenges surrounding misinformation, advance the detection and provenance of genAI content, and analyze the shifting economics of information in a society augmented by AI. In addition to shipping robust safety and information integrity advances into our existing models, you will work closely with researchers to incubate new agentic tools designed to promote information literacy and help users navigate an increasingly complex digital world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Understand the societal impact of new generative models and drive research breakthroughs in information quality, provenance, and trust.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build collaborations with product teams across Google (e.g., Search, YouTube, News) and model development teams to ship cutting-edge genAI detection and misinformation mitigation technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with researchers to envision, develop, and ship new agentic tools aimed at enhancing human information literacy and critical understanding of AI-generated content.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Investigate and model the economics of information to ensure sustainable, high-quality knowledge creation and dissemination in an AI-abundant future.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evangelize research in AI safety and information integrity, making technical breakthroughs as self-serve and platformized as possible to scale across Google products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sometimes, incubate entirely new products or frameworks focused on societal resilience and trust.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In order to set you up for success as a Product Manager at DeepMind, \u0026amp;nbsp;we look for the following skills and experience:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BSc, MSc or PhD in Computer Science, Information Science, Economics, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of AI models and their implications for content generation and dissemination.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience in building AI products rooted in trust \u0026amp;amp; safety, information retrieval, content provenance, or misinformation detection.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A rich understanding of the current societal challenges posed by generative AI, including the economics of the web and digital information ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to stay up-to-speed on all relevant research in synthetic content detection, watermarking, and agentic systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to build clear visions and strategies for translating complex societal challenges into scalable product features or tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ability to communicate complex technical and societal concepts with great simplicity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Very strong ability to collaborate in high stakes environments with multiple senior stakeholders, policy experts, and technical leads.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $240,000 USD - $334,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Application deadline: April 3, 2026\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90440,"name":"Frontier AI ","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7493360","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3324175,"location":{"name":"London, UK; New York City, New York, US; San Francisco, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Engineering","value_type":"single_select"}],"id":7493360,"updated_at":"2026-01-26T04:49:14-05:00","requisition_id":"2680","title":"Research Engineer, Frontier Safety Risk Assessment","company_name":"DeepMind","first_published":"2025-12-23T08:51:43-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;Snapshot\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Our team identifies, assesses, and mitigates potential catastrophic risks from current and future AI systems. As a member of technical staff, you will design, implement, and empirically validate approaches to assessing and managing catastrophic risk from current and future frontier AI systems. At the moment, these risks range from loss of control of advanced AI systems or automated ML R\u0026amp;amp;D through misuse of AI for widespread CBRN or cyber harm.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;About Us\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;The Risk Assessment team measures and assesses the possible risks posed by frontier systems, making sure that GDM knows the capabilities and propensities of frontier models so that adequate mitigations are in place. We also make sure that the mitigations do enough to manage the risks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;But the risks posed by frontier systems are, themselves, unclear. Forecasting the possible risk pathways is challenging, as is designing and implementing sensors that could reliably detect emerging risks before we actually have real-world examples. We focus on building decision-relevant and trustworthy evaluation systems that prioritise compute and effort on risk measurements with the highest value of information. We then need to be able to assess the extent to which proposed and implemented mitigations actually cover the identified risks, and to measure how successfully they generalize to novel settings.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Risk Assessment team is part of Frontier Safety which is responsible for measuring and managing severe potential risks from current and next-generation Frontier models. Our approach is one of adaptively scaling risk assessment and mitigation processes to handle the near-future. We are part of GDM’s AGI Safety and Alignment Team, whose other members focus on research aimed at enabling systems further in the future to be aligned and safe. These include interpretability, scalable oversight, control, and incentives.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are seeking 2 Research Engineers for the Frontier Safety Risk Assessment team within the AGI Safety and Alignment Team.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will contribute novel research towards our ability to measure and assess risk from frontier models. This might include:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Identifying new risk pathways within current areas (loss of control, ML R\u0026amp;amp;D, cyber, CBRN, harmful manipulation) or in new ones;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conceiving of, designing, and developing new ways to measure pre-mitigation and post-mitigation risk.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Forecasting and scenario planning for future risks which are not yet material.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Your work will involve complex conceptual thinking as well as engineering. You should be comfortable with research that is uncertain, under-constrained, and which does not have an achievable “right answer”. You should also be skilled at engineering, especially using Python, and able to rapidly familiarise yourself with internal and external codebases. Lastly, you should be able to adapt to pragmatic constraints around compute and researcher time that require us to prioritise effort based on the value of information.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Although this job description is written for a Research Engineer, all members of this team are better thought of as members of technical staff. We expect everyone to contribute to the research as well as the engineering and to be strong in both areas.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The role will mostly depend on your general ability to assess and manage future risks, rather than from specialist knowledge within the risk domains, but insofar as specialist knowledge is helpful, knowledge in ML R\u0026amp;amp;D and loss of control as risk domains are likely the most valuable.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;About You\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In order to set you up for success as a Research Engineer at Google DeepMind, \u0026amp;nbsp;we look for the following skills and experience:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You have extensive research experience with deep learning and/or foundation models (for example, but not necessarily, a PhD in machine learning).\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You are adept at generating ideas and designing experiments, and implementing these in Python with real AI systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are keen to address risks from foundation models, and have thought about how to do so. You plan for your research to impact production systems on a timescale between “immediately” and “a few years”.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are excited to work with strong contributors to make progress towards a shared ambitious goal.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;With strong, clear communication skills, you are confident engaging technical stakeholders to share research insights tailored to their background.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, any of the following would be an advantage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in areas such as frontier risk assessment and/or mitigations, safety, and alignment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engineering experience with LLM training and inference.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PhD in Computer Science or Machine Learning related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of publications at venues such as NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI and UAI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with collaborating or leading an applied research project.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are also open to relocating candidates and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The US base salary range for this full-time position is between $136,000 - $245,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026amp;nbsp;\u0026lt;/h2\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":90408,"name":"San Francisco, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7669433","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3375332,"location":{"name":"Los Angeles, California, US; Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Engineering","value_type":"single_select"}],"id":7669433,"updated_at":"2026-03-25T15:43:30-04:00","requisition_id":"3028","title":"Research Engineer, Human Understanding","company_name":"DeepMind","first_published":"2026-03-25T14:02:39-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;Snapshot\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a highly motivated Research Engineer (L5) with a strong background in multi-modal modelling for humans and a focus on speech \u0026amp;amp; audio/visual to join the effort within Google DeepMind\u0026#39;s Frontier AI unit. This role is pivotal in developing foundational multimodal AI capabilities to understand, generate, and protect human likeness. As a key contributor, you will design and implement cutting-edge models and frameworks, pushing the boundaries of AI to enable foundational capabilities for human-centric understanding and generation. This is a unique opportunity to contribute to impactful research and advance Google DeepMind\u0026#39;s mission towards Artificial General Intelligence (AGI).\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;About us\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence and ultimately achieve Artificial General Intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The effort is a part of Google DeepMind\u0026#39;s Frontier AI unit. The team aims to build holistic representation encompassing a full spectrum of human understanding. We develop systems to provide perception skills critical for person-centric applications, which is crucial for enabling AI to interact naturally \u0026amp;amp; seamlessly, depict humans accurately \u0026amp;amp;\u0026amp;nbsp; responsibly in generative AI, and build trustworthy \u0026amp;amp; resilient systems that can detect and prevent misuse like deepfakes and impersonation.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;You will drive outcomes for critical technical components aimed at advancing our capabilities in multimodal human understanding. You will play a critical role in developing and deploying models that can provide accurate human understanding across multiple modalities (e.g., visual appearance, voice, dynamics, etc), while also building robust defenses against sophisticated AI-driven manipulation and impersonation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role involves tackling complex, ambiguous problems with no obvious \u0026quot;best\u0026quot; solution, requiring independent judgment and a proactive approach to exploring multiple technical avenues. You will be instrumental in shaping the technical direction for core components of the effort. Your contribution will lead to key breakthrough and impactful landings within GDM and across Google products, ensuring our technologies are both groundbreaking and responsibly deployed.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Key responsibilities\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Advance multimodal human representations \u0026amp;amp; understanding : Research and implement novel models and other multimodal techniques for a more holistic understanding of humans across visual, audio, and textual data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct applied research: Conduct experimental research cycles from hypothesis to deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive technical projects: Take ownership of substantial technical projects within the effort, from ideation and design to implementation and evaluation, often involving cross-functional collaboration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to Infrastructure: Inform and contribute to the development of scalable and efficient research infrastructure for multimodal human understanding models and datasets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and execute strategies for tuning and adapting VLMs and other foundation models for specific tasks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;About you\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD degree in Computer Science, Machine Learning, or a related technical field with 3+ years of relevant experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in developing machine learning models, such as audio \u0026amp;amp; speech-visual models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in working with and tuning large-scale vision language models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Python and experience with at least one major deep learning framework (e.g., JAX)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting independent research and development, including experimental design, implementation, and analysis.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with Generative AI techniques and architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Reinforcement Learning or alignment methods.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of privacy-preserving machine learning or responsible AI practices.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between 174,000 USD - 252,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our\u0026lt;a href=\u0026quot;https://careers.google.com/privacy-policy/\u0026quot;\u0026gt; Applicant and Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026amp;nbsp;\u0026lt;/h2\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90440,"name":"Frontier AI ","child_ids":[],"parent_id":null}],"offices":[{"id":200363,"name":"Los Angeles, California, US","location":null,"child_ids":[],"parent_id":209544},{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7339890","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3275199,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Engineering","value_type":"single_select"}],"id":7339890,"updated_at":"2026-05-28T17:11:29-04:00","requisition_id":"2361","title":"Research Engineer, Materials Science","company_name":"DeepMind","first_published":"2025-10-31T15:53:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;table\u0026gt;\n\u0026lt;tbody\u0026gt;\n\u0026lt;tr\u0026gt;\n\u0026lt;td\u0026gt;\n\u0026lt;p\u0026gt;Snapshot\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/td\u0026gt;\n\u0026lt;td\u0026gt;\u0026amp;nbsp;\u0026lt;/td\u0026gt;\n\u0026lt;td\u0026gt;\n\u0026lt;p\u0026gt;Science is at the heart of everything we do at Google DeepMind. From the beginning, we took inspiration from science to build better algorithms, and now, we want to use our toolkit to accelerate scientific discovery. By bringing together specialists with backgrounds in machine learning, computer science, physics, chemistry, biology and more, we’re optimistic that we can build new methods that will push the boundaries of what is possible and help solve the biggest problems facing humanity.\u0026lt;/p\u0026gt;\n\u0026lt;/td\u0026gt;\n\u0026lt;/tr\u0026gt;\n\u0026lt;tr\u0026gt;\n\u0026lt;td\u0026gt;\n\u0026lt;p\u0026gt;Project Overview\u0026lt;/p\u0026gt;\n\u0026lt;/td\u0026gt;\n\u0026lt;td\u0026gt;\u0026amp;nbsp;\u0026lt;/td\u0026gt;\n\u0026lt;td\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Google DeepMind (GDM) is pursuing a ground-breaking research program in materials, aiming to accelerate the discovery of new functional materials by combining the predictive power of artificial intelligence (AI) and computational simulation with automated experimentation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll join an interdisciplinary team of domain experts, ML researchers, and engineers exploring a diverse set of important scientific problems in materials science, physics, quantum chemistry and other areas. Our work is organised into several longer-term focus areas, which aim to achieve step changes to the state-of-the-art (as exemplified in e.g. \u0026lt;a href=\u0026quot;https://deepmind.google/discover/blog/simulating-matter-on-the-quantum-scale-with-ai/\u0026quot;\u0026gt;DM21\u0026lt;/a\u0026gt; and \u0026lt;a href=\u0026quot;https://deepmind.google/discover/blog/millions-of-new-materials-discovered-with-deep-learning/\u0026quot;\u0026gt;GNoME\u0026lt;/a\u0026gt;).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/td\u0026gt;\n\u0026lt;/tr\u0026gt;\n\u0026lt;tr\u0026gt;\n\u0026lt;td\u0026gt;\n\u0026lt;p\u0026gt;The role\u0026lt;/p\u0026gt;\n\u0026lt;/td\u0026gt;\n\u0026lt;td\u0026gt;\u0026amp;nbsp;\u0026lt;/td\u0026gt;\n\u0026lt;td\u0026gt;\n\u0026lt;p\u0026gt;To succeed in this role you will need to be passionate about advancing material science using machine learning and other computational techniques.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an embedded Research Engineer you will collaborate with other researchers and engineers to develop infrastructure for running experiments and help researchers explore new applications of AI and LLMs to materials science. The team is pioneering in many different domains so you will take part in exploratory work that enables validating early ideas, and work in a maturing area to deepen and build infrastructure to exploit a promising line of research. You will also contribute to the scientific knowledge and experience of the team with your own scientific domain knowledge.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Plan and perform rapid prototyping of machine learning techniques applied to problems in science.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undertake exploratory analysis to inform experimentation and research directions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make improvements to model architectures and training procedures of machine learning models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement tools, libraries and frameworks to speed up and enable new research.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Report and present software developments, experimental results and data analysis clearly and efficiently.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with internal and external scientific domain experts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/td\u0026gt;\n\u0026lt;/tr\u0026gt;\n\u0026lt;tr\u0026gt;\n\u0026lt;td\u0026gt;\n\u0026lt;p\u0026gt;About you\u0026lt;/p\u0026gt;\n\u0026lt;/td\u0026gt;\n\u0026lt;td\u0026gt;\u0026amp;nbsp;\u0026lt;/td\u0026gt;\n\u0026lt;td\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Research Engineers come from a diverse set of backgrounds, sometimes with degrees in Computer Science and sometimes with extensive experience with real problems, or both.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Degree in computer science, electrical engineering, science, mathematics or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience applying software engineering principles in a scientific research environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of linear algebra, calculus and statistics equivalent to at least first-year university coursework.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience exploring, analysing, and visualising large and noisy datasets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience using Jax, PyTorch, TensorFlow, NumPy, Pandas or similar ML/scientific libraries.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;br\u0026gt;\n\u0026lt;p\u0026gt;In addition, we also look for at least one of the following:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Specific domain expertise in areas like inorganic chemistry, solid-state physics, or materials synthesis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience applying modern deep learning architectures (e.g., transformers, diffusion models) to chemistry or material science challenges (e.g. ML force fields).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience running large-scale scientific simulations (e.g. molecular dynamics, computational chemistry simulations, etc.) on Cloud or HPC clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing custom LLM agents or tool-using systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with concurrent and distributed software algorithms and architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Masters or PhD in computer science, electrical engineering, science, mathematics or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/td\u0026gt;\n\u0026lt;/tr\u0026gt;\n\u0026lt;tr\u0026gt;\n\u0026lt;td\u0026gt;\u0026amp;nbsp;\u0026lt;/td\u0026gt;\n\u0026lt;td\u0026gt;\u0026amp;nbsp;\u0026lt;/td\u0026gt;\n\u0026lt;td\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our\u0026lt;a href=\u0026quot;https://careers.google.com/privacy-policy/\u0026quot;\u0026gt; Applicant and Candidate Privacy Policy\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;/td\u0026gt;\n\u0026lt;/tr\u0026gt;\n\u0026lt;/tbody\u0026gt;\n\u0026lt;/table\u0026gt;","departments":[{"id":90441,"name":"Science","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7339604","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3275073,"location":{"name":"Kirkland, Washington, US; Seattle, Washington, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Engineering","value_type":"single_select"}],"id":7339604,"updated_at":"2026-02-24T10:43:36-05:00","requisition_id":"2357","title":"Research Engineer, Multimodal Generative AI (Image/Video)","company_name":"DeepMind","first_published":"2026-02-24T10:39:02-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Research Engineer, Multimodal Generative AI (Image/Video)\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Seattle, WA\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Snapshot\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The role of the Research Engineer will be to develop state-of-the-art methods for\u0026amp;nbsp;\u0026lt;strong\u0026gt;multimodal generative AI models, with a primary focus on image generation and editing\u0026lt;/strong\u0026gt;. This role is for the team behind “Nano Banana”.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we\u0026#39;ve built a unique culture and work environment where long-term ambitious research can flourish. Our special interdisciplinary team combines the best techniques from deep learning, reinforcement learning, and systems neuroscience to build general-purpose learning algorithms. We have already made a number of high-profile breakthroughs towards building artificial general intelligence, and we have all the ingredients in place to make further significant progress over the coming year!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Research Engineers at Google DeepMind lead our efforts in developing novel tools, infrastructure, and algorithms towards the end goal of solving and building Artificial General Intelligence.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Having pioneered research in the world\u0026#39;s leading academic and industrial labs, PhDs, post-docs, or professorships, Research Engineers join Google DeepMind to work collaboratively within and across Research fields. They are expected to independently build state of the art foundation models and research infrastructure, work with teams on large scale AI, and develop solutions to fundamental questions in machine learning and AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Drawing on expertise from a variety of disciplines including deep learning, computer vision, language modeling, and advanced generative architectures, our Research Engineers are at the forefront of groundbreaking research.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, rapidly implement, and rigorously evaluate cutting-edge deep learning algorithms, data curation, and evaluation infrastructure for multimodal generative AI, with a particular emphasis on image synthesis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Suggest and engage in team collaborations to meet ambitious research goals, while also driving significant individual contributions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in deep learning research and development, particularly in generative AI and related to image synthesis. This includes diffusion models and autoregressive generative models. Experience with post-training is a plus.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional engineering skills in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a track record of building high-quality research prototypes and systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong publication record at top-tier machine learning, computer vision, and graphics conferences (e.g., NeurIPS, ICLR, ICML, SIGGRAPH, CVPR, ICCV).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Demonstrated experience in multimodal generative modeling, especially combining large language models with visual generation (e.g., text-to-image/video systems, joint autoregressive and diffusion models).\u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;A keen eye for visual aesthetics and detail, coupled with a passion for creating high-quality, visually compelling generative content.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A real passion for AI!\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Offer\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $166,000 USD - $244,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our\u0026lt;a href=\u0026quot;https://careers.google.com/privacy-policy/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;\u0026amp;nbsp;Applicant and Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026amp;nbsp;\u0026lt;/h2\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":80279,"name":"Seattle, Washington, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7171371","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3220366,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Engineering","value_type":"single_select"}],"id":7171371,"updated_at":"2026-05-07T15:16:34-04:00","requisition_id":"2022","title":"Research Engineer, Multimodal Reasoning For Information Literacy","company_name":"DeepMind","first_published":"2025-09-29T12:27:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;Snapshot\u0026amp;nbsp;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, our research team is dedicated to tackling the most complex challenges in online information quality. We strive to advance the state of the art by developing innovative solutions to detect manipulated media and misleading narratives, ensuring the integrity of digital discourse. A prominent example of our scientific discovery is \u0026lt;a href=\u0026quot;https://deepmind.google/discover/blog/exploring-the-context-of-online-images-with-backstory/\u0026quot;\u0026gt;Backstory\u0026lt;/a\u0026gt;. Our interdisciplinary work spans provenance analysis and the creation of tools for AI-assisted information literacy, leveraging our technologies for the widespread public benefit of a safer online environment. We thrive in a supportive environment that encourages rapid prototyping and iteration, driving our research achievements directly into Google’s flagship models, including Gemini.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;About us\u0026amp;nbsp;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;To succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You\u0026#39;ll join an interdisciplinary team of domain experts, ML researchers, and engineers to research and build multimodal reasoning systems and Vision-Language Models (VLMs) to assess the trustworthiness of media (images, audio, and videos) on the internet.\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Plan and perform rapid prototyping of computer vision and multimodal machine learning techniques applied to determining authenticity of media information.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and train multimodal models capable of complex visual reasoning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Undertake exploratory analysis to inform experimentation and research directions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with product teams to drive the development of our research.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement tools, libraries, and frameworks to speed up and enable new research.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Report and present research findings, software developments, experimental results, and data analysis clearly and efficiently.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with internal and external scientific domain experts.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;About you\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD/Master’s degree in Computer Science, AI, ML, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;At least 2 years of relevant experience developing computer vision techniques or multimodal machine learning models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in software development using Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a proven track record of building high-quality research prototypes and systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Quantitative skills in math and statistics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience exploring, analysing and visualising data.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in training and deployment of large-scale models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Video Understanding\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Large Language Models, prompt engineering, few-shot learning, post-training techniques, and evaluations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven track record of research or engineering achievements, such as publications in peer-reviewed conferences or journals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;When assessing technical background we will take a holistic view of the mix of scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between 174,000 USD - 252,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":90440,"name":"Frontier AI ","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7640947","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3367610,"location":{"name":"Bangalore, India "},"metadata":[{"id":90484,"name":"Website Grouping","value":"Research","value_type":"single_select"}],"id":7640947,"updated_at":"2026-02-21T12:59:57-05:00","requisition_id":"2967","title":"Research Scientist, AQUA","company_name":"DeepMind","first_published":"2026-02-21T12:59:57-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;Snapshot\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;About Us\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;The Agents team at Google DeepMind India is driven by the mission of developing foundational capabilities in Large Models towards realizing AGI. We focus on uncovering emergent agentic behaviors through novel reinforcement learning algorithms run at scale.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We also apply our research advances to Gemini and critical product launches in Google, touching the lives of hundreds of millions of users, and we are looking forward to doing more!\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a highly motivated and innovative Research Scientist to join our team in Bangalore, focused on advancing the state-of-the-art in autonomous agents\u0026amp;nbsp; through reinforcement learning and ML optimization methods. You will conduct cutting-edge research on large language models (LLMs), focusing on the development of more capable, robust autonomous agents.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Having pioneered research in the world\u0026#39;s leading academic and industrial labs in PhDs, post-docs or professorships, Research Scientists join Google DeepMind to work collaboratively within and across Research fields. They develop solutions to fundamental questions in machine learning and AI.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Key responsibilities:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, implement and evaluate models, agents and software prototypes of large foundational models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Push the boundary of state of the art RL methods and machine learning optimization methods to build autonomous agents.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Suggest and engage in team collaborations to meet ambitious research goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;About You\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges. You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact.\u0026amp;nbsp; You are eager to see your research contribute to real-world applications and are driven by a desire to create positive change through AI.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Computer Science, Artificial Intelligence, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong publication record in top-tier machine learning conferences or journals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with multimodal learning, large language models, and/or assistive AI agents.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with prompt engineering, few-shot learning, post-training techniques, and evaluations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with large-scale model training and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Python or similar languages.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and collaboration skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":90440,"name":"Frontier AI ","child_ids":[],"parent_id":null}],"offices":[{"id":200431,"name":"Bangalore, India ","location":null,"child_ids":[],"parent_id":209545}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7450900","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3311901,"location":{"name":"New York City, New York, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Research","value_type":"single_select"}],"id":7450900,"updated_at":"2026-01-26T04:49:14-05:00","requisition_id":"2599","title":"Research Scientist, Gemini Information Tasks","company_name":"DeepMind","first_published":"2026-01-14T23:06:45-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Snapshot\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a research scientist who will drive research in Gemini for information tasks. The candidate will primarily work on post-training, but could potentially also work on model-external interventions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our team works on improving Gemini on tasks where users interact with the model to complete information journeys;\u0026amp;nbsp; this includes improving helpfulness and factuality of Gemini models.\u0026amp;nbsp; To this end, we have developed novel post-training innovations to improve the quality, groundedness and factuality of Gemini models in search on mode.\u0026amp;nbsp; Our work impacts product surfaces including AI Mode, Gemini App, AI Studio and Vertex AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, we expect the candidate to work on improving Gemini for information tasks, focusing on quality of information-seeking responses (helpfulness, factuality, grounding, and other aspects). It is an opportunity to explore fundamental issues in modeling and data interventions for information-seeking scenarios, with very significant opportunities in shaping Google’s products in this space.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Key responsibilities:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research on post-training (e.g., RL and SFT) for information-seeking scenarios in Gemini\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Research on novel evaluation methods for improving model quality, grounding and factuality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Research on orchestration of tool calls, and improved retrieval methods, for information-seeking scenarios\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a\u0026amp;nbsp; at Google DeepMind,\u0026amp;nbsp; we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in a relevant area, or an equivalent research/publication record\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Number of years experience: anything from recent PhD onwards\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong software-engineering skills in addition to a research background\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;In addition, the following would be an advantage: (require maximum of 5 and minimum of 3 items)\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in reinforcement learning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in post-training methods\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in LLMs for information-seeking scenarios\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":73982,"name":"New York City, New York, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7477025","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3319156,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Research","value_type":"single_select"}],"id":7477025,"updated_at":"2026-01-27T13:36:39-05:00","requisition_id":"2641","title":"Research Scientist, Gemini Personal Intelligence","company_name":"DeepMind","first_published":"2026-01-26T09:50:32-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Research Scientist - Gemini Personal Intelligence\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Mountain View, California, US\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our team drives the Personal Intelligence research behind Gemini, with a mission to make AI more personal, proactive, and context-aware. You will push the boundaries of Large Language Models (LLMs) to build the brain of the world’s most helpful personal assistant—one that securely integrates with users\u0026#39; personal data to solve real-world problems. Our core research focus areas include:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Personalization: Inferring and adapting to user intent, preferences, communication styles, etc.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Context: Reasoning over extensive personal history (e.g., Gmail, Photos, Drive) across diverse modalities (Text, Image, Audio, Video).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Agency: Empowering AI models to autonomously plan, use tools, and execute complex tasks on behalf of the user.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Research Scientist for Gemini Personal Intelligence, you will advance the state-of-the-art in understanding and reasoning to create an AI that truly understands, remembers, and adapts to the user\u0026#39;s unique life and context. Key responsibilities for this role:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Driving research on post-training techniques (e.g., RL, SFT, and preference optimization) specifically tailored for personalization scenarios.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Developing novel evaluation frameworks and simulation methods to measure model quality against user behaviors / feedback.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Designing and training agents capable of orchestrating tools and APIs to deliver hyper-personalized experiences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. You should be flexible, adaptable, and comfortable pivoting when ideas don’t work out.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a\u0026amp;nbsp; at Google DeepMind,\u0026amp;nbsp; we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;em\u0026gt;PhD in Machine Learning, Computer Science, or a relevant field (or equivalent practical research experience).\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;em\u0026gt;A proven track record of research excellence (e.g., publications at top-tier venues like NeurIPS, ICML, ICLR, or significant industry contributions), ranging from recent graduates to experienced researchers.\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;em\u0026gt;Strong software engineering skills to complement your research background.\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;In addition, the following would be an advantage:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;em\u0026gt;Hands-on experience with modern post-training methods (SFT, RLHF, etc.).\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;em\u0026gt;Prior work applying LLMs to personalization, memory, or agentic workflows.\\\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Offer\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $141,000 USD - 244,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our\u0026lt;a href=\u0026quot;https://careers.google.com/privacy-policy/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;Applicant and Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7731944","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3393030,"location":{"name":"Zurich, Switzerland"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Research","value_type":"single_select"}],"id":7731944,"updated_at":"2026-03-18T11:31:05-04:00","requisition_id":"3104","title":"Research Scientist, Gemini Safety","company_name":"DeepMind","first_published":"2026-03-18T11:25:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/span\u0026gt;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Snapshot\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Gemini Safety team is accountable for the safety and fairness behavior of GDM’s latest Gemini models. The role of the Research Scientist will be to apply and develop data and algorithmic cutting edge solutions to advance GDM’s latest user-facing models. The workstyle is fast paced, and highly collaborative. The team has a strong culture of support, dedication and collaboration.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for a versatile Research Scientist, at ease both with figuring out how to approach new research questions, and the technical implementation of research ideas.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our team focuses on advancing the safety and fairness behaviour of state of the art AI models. We drive the development of the foundational technology adopted by numerous product areas including Gemini App, Cloud API, and Search.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Key responsibilities:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Post-training / instruction tuning state of the art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exploring data, reasoning and algorithmic solutions to make sure Gemini Models are safe, maximally helpful, and work for everyone.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve Gemini’s adversarial robustness, with a focus on high-stakes abuse risks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and maintain high quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute experimental plans to address known gaps, or construct entirely new capabilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About you\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Research Scientist in the Gemini Safety team,\u0026amp;nbsp; we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Computer Science, a related field, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Significant LLM post-training experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Long-range Reinforcement learning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in areas such as Safety, Fairness and Alignment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of publications at NeurIPS, ICLR, ICML\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience taking research from concept to product\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with collaborating or leading an applied research project\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experimental taste: Good judgment regarding baselines, ablations, and what is worth testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with JAX\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":83977,"name":"Zurich, Switzerland","location":null,"child_ids":[],"parent_id":209543}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7421111","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3304203,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Research","value_type":"single_select"}],"id":7421111,"updated_at":"2026-03-12T15:06:32-04:00","requisition_id":"2557","title":"Research Scientist, Gemini Safety","company_name":"DeepMind","first_published":"2026-03-12T15:06:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;Snapshot\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;The Gemini Safety team is accountable for the safety and fairness behavior of GDM’s latest Gemini models. The role of the Research Scientist / Research Engineer will be to apply and develop data and algorithmic cutting edge solutions to advance GDM’s latest user-facing models. The workstyle is fast paced, and highly collaborative. The team has a strong culture of support, dedication and collaboration.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;About Us\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for a versatile Research Scientist\u0026amp;nbsp;at ease both with figuring out how to approach new research questions, and the technical implementation of research ideas.\u0026amp;nbsp;Our team focuses on advancing the safety and fairness behavior of state of the art AI models. We drive the development of the foundational technology adopted by numerous product areas including Gemini App, Cloud API, and Search.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Key responsibilities:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Post-training / instruction tuning state of the art LLMs, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exploring data, reasoning and algorithmic solutions to make sure Gemini Models are safe, maximally helpful, and work for everyone.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve Gemini’s adversarial robustness, with a focus on high-stakes abuse risks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and maintain high quality evaluation protocols to assess model behavior gaps and headroom related to safety and fairness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and execute experimental plans to address known gaps, or construct entirely new capabilities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive innovation and enhance understanding of Supervised Fine Tuning and Reinforcement Learning fine-tuning at scale\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;About You\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In order to set you up for success as a Research Scientist on the Gemini Safety team\u0026amp;nbsp; we look for the following skills and experience:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD in Computer Science, a related field, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Significant LLM post-training experience\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in Reward modeling and Reinforcement Learning for LLMs Instruction tuning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Long-range Reinforcement learning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in areas such as Safety, Fairness and Alignment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of publications at NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI, UAI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience taking research from concept to product\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with collaborating or leading an applied research project\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with JAX\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7353237","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3279862,"location":{"name":"London, UK"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Science","value_type":"single_select"}],"id":7353237,"updated_at":"2026-06-01T09:32:14-04:00","requisition_id":"2393","title":"Research Scientist, Material Intelligence ","company_name":"DeepMind","first_published":"2025-10-23T10:09:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;Snapshot\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Science is at the heart of everything we do at Google DeepMind. From the beginning, we took inspiration from science to build better algorithms, and now, we want to use our toolkit to accelerate scientific discovery. By bringing together specialists with backgrounds in machine learning, computer science, physics, chemistry, biology and more, we’re optimistic that we can build new methods that will push the boundaries of what is possible and help solve the biggest problems facing humanity.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;About Us\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Google DeepMind (GDM) is pursuing a ground-breaking research program in materials, aiming to accelerate the discovery of new functional materials by combining the predictive power of artificial intelligence (AI) and computational simulation with automated experimentation. The team is establishing experimental capacity to create a closed-loop, AI-driven discovery engine. Computational simulation is critical for grounding the AI and providing quick \u0026lt;em\u0026gt;in silico\u0026lt;/em\u0026gt; feedback before materials are sent off to the lab for experimental validation.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are seeking an exceptional and highly motivated expert in computational materials science, with broad expertise simulating diverse material classes, to help drive our in-silico discovery efforts. This is a senior position with a unique role blending scientific leadership, hands-on modeling, strategic input, and mentorship. You will be instrumental in guiding the computational team, supervising junior researchers, and refining the critical in-silico feedback loop that is at the heart of our mission.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Key responsibilities:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Computational Leadership \u0026amp;amp; Supervision: Lead and mentor a team of computational materials scientists, guiding project roadmaps, fostering scientific growth, and ensuring high-quality research output.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Modeling Strategy \u0026amp;amp; Execution: Design and execute large-scale computational screening campaigns using DFT, molecular dynamics, and other simulation methods to predict novel materials with desired properties.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad Materials Expertise: Apply deep physical and chemical intuition across diverse material classes to identify promising avenues for discovery.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Method \u0026amp;amp; Workflow Development: Review, integrate, and develop state-of-the-art computational tools and automated, high-throughput workflows on Google\u0026#39;s large-scale compute infrastructure that can be tightly integrated with AI search methods.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Data Integrity \u0026amp;amp; Feedback Loop: Ensure the generation of high-quality, reproducible computational data. Play a key role in structuring and curating simulation databases to train next-generation AI models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-functional Collaboration: Work closely with AI researchers and software engineers to translate AI-generated hypotheses into scalable simulation pipelines and to troubleshoot the simulation-to-reality gap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reporting \u0026amp;amp; Communication: Clearly and efficiently report on computational progress, new material predictions, and challenges to the wider Material Intelligence team and key stakeholders.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;About You\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In order to set you up for success as a Research Scientist at Google DeepMind, \u0026amp;nbsp;we look for the following skills and experience:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Significant post-PhD experience in Computational Materials Science, Solid-State Chemistry, Condensed Matter Physics, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of supervising and mentoring junior computational researchers, postdocs, or students.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Broad knowledge across multiple material classes and their relevant properties (e.g., electronic, magnetic, optical, mechanical).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep, recognized expertise in first-principles simulation methods for materials (e.g., DFT, DFPT, MD) and a strong understanding of their application and limitations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive hands-on experience using computational packages like VASP, Quantum ESPRESSO, LAMMPS, or similar.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills (e.g., Python) for workflow management, data analysis, and tool automation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to independently lead and manage complex computational research projects, from conception to data analysis and communication.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent teamwork and communication skills, with proven experience in interdisciplinary collaboration, especially bridging the gap between computational/theory and experimental groups.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience in developing or applying machine learning models for materials property prediction (e.g., GNNs, ML-derived interatomic potentials).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in high-throughput computational workflows and managing large-scale simulation campaigns on HPC or cloud infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A significant track record of high-impact research, reflected in publications, patents, or deployed technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in strategic planning for a research group, including hiring and resource allocation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90441,"name":"Science","child_ids":[],"parent_id":null}],"offices":[{"id":45977,"name":"London, UK","location":null,"child_ids":[],"parent_id":209543}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7672015","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3375945,"location":{"name":"Tokyo, Japan"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Research","value_type":"single_select"}],"id":7672015,"updated_at":"2026-05-22T00:41:28-04:00","requisition_id":"3030","title":"Research Scientist: Multilingual, Multicultural and Multimodal LLM","company_name":"DeepMind","first_published":"2026-03-03T05:02:04-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;Snapshot\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are seeking highly motivated and innovative Research Scientists to join our team in Tokyo, focused on advancing the state-of-the-art in multilingual, multicultural, and multimodal large language models (LLMs).\u0026amp;nbsp; You will conduct cutting-edge research on Gemini, particularly in the multilingual, multicultural, and multimodal domain (speech, vision, and text), with a direct path to impacting billions of users through Google products.\u0026amp;nbsp; This role offers a unique opportunity to contribute to foundational research in multilingual and multimodal LLMs, with a special emphasis on unique challenges in the Asia-Pacific (APAC) region, while collaborating with a world-class team at Google DeepMind around the world.\u0026amp;nbsp; If you are passionate about shaping the future of human-computer interaction through multilingual and multimodal LLMs and are eager to make a significant impact on users in the APAC region and beyond, we encourage you to apply.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;About us\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence and build Artificial General Intelligence (AGI). We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Tokyo position is based in the Frontier AI group at Google DeepMind Japan. The group conducts research and development on various aspects of multimodal LLM development, particularly focusing on voice-based conversational AI. Their work has also enhanced various Google products such as Gemini App, NotebookLM, Google AI Studio, Google Labs, and Google Cloud.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;As a Research Scientist at Google DeepMind, you will:\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Key responsibilities\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Develop and evaluate multilingual, multicultural, and multimodal LLMs\u0026lt;/strong\u0026gt;: Design, implement, and evaluate multilingual, multicultural, and multimodal capabilities in Gemini and other frontier models at Google.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Collaborate with a world-class team\u0026lt;/strong\u0026gt;: Work closely with other research scientists, engineers, and product teams across Google DeepMind, fostering a collaborative and intellectually stimulating environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Contribute to real-world impact\u0026lt;/strong\u0026gt;: See your work contribute to Gemini and other frontier models at Google, with applications across various domains, directly influencing the future of Google products and services.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Contribute to the research community: Contribute to the research community by sharing insights and participating in external academic workshops and conferences.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;About you\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges. You are passionate about seeing your research translated into real-world products that improve the lives of users and are eager to work in an environment where research has a direct path to product impact.\u0026amp;nbsp; You are eager to see your research contribute to real-world applications and are driven by a desire to create positive change through AI.\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ph.D. (or equivalent research experience) in Computer Science, Artificial Intelligence, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong publication record in top-tier AI conferences or journals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and collaboration skills.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with multilingual, multicultural, and/or multimodal learning in LLMs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with pretraining, post-training techniques, prompt engineering, few-shot learning, and evaluations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with large-scale model training and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Python or similar languages.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;","departments":[{"id":90440,"name":"Frontier AI ","child_ids":[],"parent_id":null}],"offices":[{"id":97944,"name":"Tokyo, Japan","location":null,"child_ids":[],"parent_id":209545}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7680885","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3378420,"location":{"name":"Kirkland, Washington, US; Mountain View, California, US; New York City, New York, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Research","value_type":"single_select"}],"id":7680885,"updated_at":"2026-03-12T15:08:45-04:00","requisition_id":"3041","title":"Research Scientist, Multimodal Alignment, Safety, and Fairness","company_name":"DeepMind","first_published":"2026-03-09T12:47:56-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;Snapshot\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are seeking strong Research Scientists with expertise in AI research and experience in interdisciplinary sociotechnical modeling to join a multimodal safety research effort within Google DeepMind\u0026#39;s Frontier AI unit. This role requires a passion for understanding and modeling the interactions between AI and society, a strong awareness of the AI alignment and safety landscape, and a penchant for developing novel ideas, methods, interfaces, and tools.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a unique opportunity to contribute to impactful research and advance Google DeepMind\u0026#39;s mission towards Artificial General Intelligence (AGI).\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;About us\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence and ultimately achieve Artificial General Intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our team is a part of Google DeepMind\u0026#39;s Frontier AI unit. We have a mission to advance the frontiers of safety and inclusion in multimodal AI, build new capabilities into Google\u0026#39;s flagship models and products, and break new ground on AI alignment. We approach alignment research with an ecosystem view, partnering across the development and deployment cycle and grounding our work in real-world impact on global users and communities. We are a research team with a mandate to invest in longer term bets and explore innovative approaches that deliver breakthrough improvements to models (Gemini) and products. Our work is at the frontier of augmented oversight for multimodal AI, and our research advances have directly impacted multiple versions of Gemini and Nano Banana models.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are seeking strong Research Scientists with expertise in AI research and experience in interdisciplinary sociotechnical modeling, to lead new breakthrough research directions.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will join a team working to supercharge exploration, assessment, and steering of evolving AI behaviors, with a focus on subjective and creative tasks. You will tackle the underlying research questions to improve collaborative specification of alignment objectives and assessment of adherence to desired behaviors. You will research new methods to enable AI agents to monitor real-world social context and dynamically evaluate and evolve system behaviors over long time-horizons. You’ll develop new paradigms for human+AI rating that considers systemic behaviors, adapts to human feedback, and proactively seeks context.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Research Scientists at Google DeepMind lead the development of novel tools and algorithms to solve Artificial General Intelligence. Joining from top academic or industrial labs, they collaborate across fields to tackle fundamental AI questions using expertise in deep learning, computer vision, and generative architectures. This role requires independent judgment to navigate complex, ambiguous problems and explore diverse technical avenues. Your work will drive breakthroughs within GDM, Google products, and the AI alignment community.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Key responsibilities\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research: Generate new ideas, keep up with the state of the art in the field, discuss research directions with other researchers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Execute: Design, rapidly implement, and rigorously evaluate cutting-edge ideas, methods, interfaces, and tools to explore new sociotechnical AI systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate: Report and present research findings and developments clearly and efficiently both internally and externally, verbally and in writing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate: Suggest and engage in inter- and intra- team collaborations to meet ambitious research goals, while also driving significant individual contributions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive technical projects: Take ownership of substantial technical projects, from ideation and design to implementation and evaluation, often involving cross-functional collaboration.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;About you\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;PhD degree in Computer Science, Machine Learning, or a related technical field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated hands-on experience in developing multimodal AI models and systems,\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Python and experience with at least one major deep learning framework (e.g., JAX/Flax/Gemax)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting independent research and development, including experimental design, implementation, and analysis.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven expertise in working with and tuning large-scale vision language models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience prototyping with VLMs with modern prompting strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience finetuning and post-training LLMs using RL\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with developing agentic AI solutions to complex problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excited to collaborate across orgs and disciplines to leverage diverse perspectives and expertise and find creative solutions.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interest and a strong awareness of the AI alignment / safety / responsibility / fairness landscape\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Generative AI techniques and architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Reinforcement Learning or alignment methods.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between 147,000 USD - 211,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our\u0026lt;a href=\u0026quot;https://careers.google.com/privacy-policy/\u0026quot;\u0026gt; Applicant and Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;","departments":[{"id":90440,"name":"Frontier AI ","child_ids":[],"parent_id":null}],"offices":[{"id":98931,"name":"Kirkland, Washington, US","location":null,"child_ids":[],"parent_id":209544},{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544},{"id":73982,"name":"New York City, New York, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7461811","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3315685,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Research","value_type":"single_select"}],"id":7461811,"updated_at":"2026-03-18T13:10:43-04:00","requisition_id":"2616","title":"Research Scientist, Recommendation Systems","company_name":"DeepMind","first_published":"2026-01-12T15:17:09-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Our team operates at the frontier of modern recommender systems. With a proven track record of innovating and deploying novel deep learning algorithms and systems at scale, we are currently focused on building the next-gen Large Recommendation Models\u0026amp;nbsp;by bridging the gap between LLMs and complex behavioral signals. Our research explores user \u0026amp;amp; item tokenizations, continued pre-training, and advanced fine-tuning techniques to build recommendations-native foundation models. Our mission is to transform the landscape of recommendation systems using the most advanced AI technologies, delivering massive impact across Google’s flagship products.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;As a Research Scientist, you will have the opportunity to build new paradigms using Large Language Models, harnessing the advanced content understanding, long-context, and reasoning capabilities. You will play a pivotal role in exploring how to integrate data from recommendation domains into foundation models, enabling new capabilities through data curation, Supervised Fine-Tuning (SFT), Reinforcement Learning (RL) training, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Research and develop key technologies such as Semantic IDs, generative retrieval/ranking, large user models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build prototypes to demonstrate the \u0026quot;art of the possible\u0026quot; for recommendation systems using the newest AI advances.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with product teams to translate research breakthroughs into deployed solutions for flagship products, tackling real-world challenges at an industrial scale through new recipes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. You should be flexible, adaptable, and comfortable pivoting when ideas don’t work out.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a\u0026amp;nbsp; at Google DeepMind,\u0026amp;nbsp; we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;em\u0026gt;PhD in Machine Learning, Computer Science, or a relevant field (or equivalent practical research experience).\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;em\u0026gt;A proven track record of research excellence (e.g., publications at top-tier venues like NeurIPS, ICML, ICLR, or significant industry contributions), ranging from recent graduates to experienced researchers.\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;em\u0026gt;Strong software engineering skills to complement your research background.\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;In addition, the following would be an advantage:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;em\u0026gt;Proven track record of building recommender / search systems and/or successfully deploying novel deep learning algorithms at industrial scale.\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;em\u0026gt;Skilled in LLM post-training algorithms and infra, with proficiency in JAX.\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;em\u0026gt;Strong communication skills with a demonstrated ability to drive cross-functional projects and collaborate effectively across organizational boundaries.\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Offer\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are also open to relocating candidates to Mountain View and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544},{"id":73982,"name":"New York City, New York, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7716037","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3389096,"location":{"name":"London, UK"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Research","value_type":"single_select"}],"id":7716037,"updated_at":"2026-03-14T09:24:47-04:00","requisition_id":"3093","title":"Research Scientist, Reinforcement Learning","company_name":"DeepMind","first_published":"2026-03-14T09:24:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Snapshot\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for talented Research Scientists to push forward fundamental research and technology in Artificial Intelligence, as part of our interdisciplinary and collaborative Reinforcement Learning team.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;DeepMind’s RL team is a long-standing and tight-knit team of collaborative scientists and engineers, led by Tom Schaul. We tackle large scale research challenges in reinforcement learning. We design, refine, and scale RL algorithms and deliver meaningful scientific or product impact. Over the past decade, members of the RL team have been instrumental in building DQN, AlphaGo, Rainbow, AlphaZero, MuZero, AlphaStar, AlphaProof and Gemini. Join us to build the next big thing!\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;As a Research Scientist, you\u0026#39;ll use machine learning knowledge and technical know-how to innovate, drive research projects, as well as apply research to impactful problems. You will be expected to implement code, run experiments, own results end-to-end, communicate them internally or externally, as well as collaborate with and empower others.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Your work may involve:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Initiating or pursuing novel research directions, by proposing and testing research hypotheses.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implementing algorithm ideas and run end-to-end experiments, including setup, execution, analysis, and iteration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sharing your skills and knowledge with other researchers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building or improving infrastructure for research at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Designing evaluations and ablations that answer real questions and change minds.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyzing results carefully, including debugging and failure analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicating clearly through plots, writeups, and paper-ready narratives and figures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributing to a culture of first-principles thinking, high standards, and direct, constructive feedback.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Our projects span the full range of state-of-the-art machine learning and AI fields, including large language models, distributed machine learning techniques, and much more, but with an emphasis on reinforcement learning.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We take a holistic view of people\u0026#39;s backgrounds, and do not expect you to be an expert in all areas. We do expect you to proactively and quickly adopt new technologies and systems, but we also invest a lot of time in training and helping people to continually learn as part of their role.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A passion for reinforcement learning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A research track record in RL, including peer-reviewed publications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong implementation ability and comfort working in research codebases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evidence of owning experiments end-to-end, including analysis and interpretation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and a bias toward clarity and honesty regarding results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High agency and drive: You push projects forward, prioritize effectively, and take initiative.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PhD in ML preferred, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;In addition, the following would be an advantage:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with RL for sequence models, post-training, preference-based learning, or agentic systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with modern research stacks (e.g., JAX/Flax or PyTorch) and scaling experiments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experimental taste: Good judgment regarding baselines, ablations, and what is worth testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with scaling, evaluation methodologies, and diagnosing complex failure modes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A focus on craft: You care about doing excellent work while maintaining a high velocity.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;","departments":[{"id":90440,"name":"Frontier AI ","child_ids":[],"parent_id":null}],"offices":[{"id":45977,"name":"London, UK","location":null,"child_ids":[],"parent_id":209543}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7560458","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3345073,"location":{"name":"Zurich, Switzerland"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Engineering","value_type":"single_select"}],"id":7560458,"updated_at":"2026-01-27T09:55:24-05:00","requisition_id":"2799","title":"Senior Data Scientist, Gemini App, Google DeepMind","company_name":"DeepMind","first_published":"2026-01-27T09:55:24-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h4\u0026gt;Snapshot\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;Our team, GeminiApp, is on a mission to build a universal AI assistant that will empower billions of people. We are creating a personal, proactive, and powerful life assistant that will be used multiple times a day to increase productivity and creativity by 10 to 100-fold. Our work is shaping how humanity interacts with AI at scale.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;About Us\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;The Role\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;As a Data Scientist on the GeminiApp team, you are a key partner and co-creator in our product strategy while managing a growing team. You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data. This is a high-impact role for a data scientist who is excited about working in a fast-paced, innovative environment and who is passionate about building user-centered experiences that will redefine our relationship with technology.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with Verticals PM, engineering, and UX to develop data-driven product strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and implement novel, goal-oriented metrics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate findings \u0026amp;amp; recommendations to stakeholders, including executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion data-driven culture by feeding user engagement insights back into models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with the GenAI team on model quality and feature adoption\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Act as a technical leader for a global team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In order to set you up for success as a Data Scientist at DeepMind, \u0026amp;nbsp;we look for the following skills and experience:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master\u0026#39;s degree.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2 years of work experience identifying opportunities for business/product improvement and then defining/measuring the success of those initiatives.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;A bias for action and a relentless drive to build something great.\u0026lt;/strong\u0026gt; You are a resourceful and creative problem-solver, able to find innovative solutions in a fast-paced and dynamic environment. You are comfortable with ambiguity and thrive on a challenge.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strong business acumen and a strategic mindset.\u0026lt;/strong\u0026gt; You have a proven ability to connect data-driven insights to business impact and can effectively translate business needs into data science problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Deep technical expertise.\u0026lt;/strong\u0026gt; You have a strong foundation in statistical modeling, machine learning, and experimental design. You are proficient in SQL and have hands-on experience with a programming language like Python or R.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Exceptional communication and presentation skills.\u0026lt;/strong\u0026gt; You can articulate complex technical concepts to both technical and non-technical audiences, including executive leadership. You are a compelling storyteller who can use data to influence decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;A collaborative and influential partner.\u0026lt;/strong\u0026gt; You have a track record of successfully collaborating with and influencing cross-functional teams, particularly engineering and product management, to drive data-informed decisions. You are ready to work in an environment with a shared roadmap that holds multiple teams accountable for both model quality and feature adoption.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;A commitment to user trust and privacy.\u0026lt;/strong\u0026gt; You understand the importance of telling users what data is being used and why, and you are committed to providing users with granular, easy-to-understand controls over their personal information.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Application deadline: 12pm GMT 28th February 2026\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our\u0026lt;a href=\u0026quot;https://careers.google.com/privacy-policy/\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;Applicant and Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;","departments":[{"id":238125,"name":"GeminiApp","child_ids":[],"parent_id":null}],"offices":[{"id":83977,"name":"Zurich, Switzerland","location":null,"child_ids":[],"parent_id":209543}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7699947","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3384523,"location":{"name":"Mountain View, California, US; New York City, New York, US; San Francisco, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7699947,"updated_at":"2026-03-10T14:02:13-04:00","requisition_id":"3068","title":"Senior Product Manager, Kaggle, North America","company_name":"DeepMind","first_published":"2026-03-10T11:57:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h4\u0026gt;Snapshot\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;Kaggle is the world’s largest AI and ML developer community with over 5.6 million monthly active users and 30 million registered users. Kaggle is currently evolving from static ML competitions to becoming a trusted industry standard for AI evaluation with community at its heart. As a Senior Product Manager at Kaggle, you will be at the forefront of driving this transformation, leading initiatives across our AI evaluation platform, community growth, and cutting-edge research to define \u0026quot;what works\u0026quot; in the modern AI landscape.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;About Us\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Within Google DeepMind, Kaggle operates as an independent brand with a vital mission: to help the world understand what works (and what doesn\u0026#39;t) in AI. We empower a community of researchers, developers, and frontier labs by providing the ultimate arena to learn, build, and evaluate the next generation of AI systems.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;The Role\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;To tackle Kaggle’s ambitious mandate, we are expanding our product team with multiple hires. We are looking for action-oriented, \u0026quot;AI native\u0026quot; leaders who can help a team execute efficiently in a highly ambiguous environment. Rather than forcing a one-size-fits-all role, we will align your specific product portfolio with your unique superpowers. Whether your strength lies in building robust developer platforms, scaling global developer communities, or productizing frontier AI research, you will play a pivotal role in redefining how the industry evaluates AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Lead Product Vision:\u0026lt;/strong\u0026gt; Drive the strategy and execution for a core pillar of Kaggle\u0026#39;s AI evaluation portfolio, whether that is unifying our AI Evals Platform, scaling top-of-funnel growth, or expanding our agent arena offerings.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Champion the Developer Experience:\u0026lt;/strong\u0026gt; Design intuitive, scalable workflows that balance ease-of-access with research-grade quality, enabling developers and researchers to seamlessly publish, test, and rank agentic systems.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scale the Ecosystem:\u0026lt;/strong\u0026gt; Launch strategic features, integrations, and partnerships that meet developers where they are, expanding Kaggle\u0026#39;s reach and influence across the global AI community.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Productize the Frontier:\u0026lt;/strong\u0026gt; Identify emergent AI evaluation trends and novel paradigms, translating them into scalable platform features that act as a \u0026quot;north star\u0026quot; for the industry.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Drive Internal \u0026amp;amp; External Impact:\u0026lt;/strong\u0026gt; Partner cross-functionally with Google teams and external frontier labs to ensure Kaggle’s aggregate signals directly inform and accelerate foundation model development.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Build Sustainable Systems \u0026amp;amp; Business Models:\u0026lt;/strong\u0026gt; Address complex platform scaling challenges, such as implementing flexible compute options to support compute-heavy agentic evaluation workloads.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Senior Kaggle Product Manager at Kaggle within Google DeepMind, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of product management experience, with a proven track record of successfully shipping and scaling complex, highly technical software products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep domain expertise in the modern AI ecosystem, with a hands-on, opinionated understanding of LLMs, agentic frameworks, and current methodologies for model benchmarking and evaluation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience building developer-facing tools, APIs, SDKs, or platform ecosystems that require an obsession with Developer Experience (DX).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with ambiguity and the ability to define product direction in a fast-moving, novel space.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong existing network or previous experience working directly with top-tier AI labs, research organizations, or open-source AI communities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in community growth loops and creator-consumer flywheels, including measuring user journeys and scaling developer engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven success in commercialization or unit economics for large open-source or developer ecosystems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The US base salary range for this full-time position is between $192,000 USD - $278,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;em\u0026gt;Application deadline: March 24, 2026\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":238125,"name":"GeminiApp","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544},{"id":73982,"name":"New York City, New York, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7389078","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3293446,"location":{"name":"London, UK"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7389078,"updated_at":"2026-05-19T10:08:43-04:00","requisition_id":"2478","title":"Senior Program Manager, Google DeepMind Impact Accelerator","company_name":"DeepMind","first_published":"2026-01-06T10:34:30-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h3\u0026gt;Snapshot\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The role of the Program Management Team is to shape and accelerate the delivery of GDM’s highest priorities. We do this through translating strategy into program plans, implementing efficient ways of working, and developing successful teams to drive end-to-end delivery of our GDM objectives. We provide focus for our teams through co-developing goals and priorities, continually anchoring teams back to these. We always pursue sustainable ways to optimize our work, striving to ensure we cultivate an environment where people can be both highly collaborative and deeply creative, making responsible and groundbreaking progress at pace. We build positive relationships with teams, bringing clarity to ambiguity and providing stability during change.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In addition, our program management expertise structures complex projects, and we continuously deepen our technical knowledge, working alongside researchers and engineers to ensure all our work is advancing towards our mission!\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;About us\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Google DeepMind Impact Accelerator (GDI) has a unique role in GDM, to develop solutions and resources built on GDM\u0026#39;s technologies and expertise that extend the benefits to humanity. We are a path to real world impact, beyond Alphabet products and services or making our research public.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The role\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Program Manager, you will drive the success of all strategic initiatives within the Google DeepMind Impact Accelerator. You will partner with senior leadership across the team, Google DeepMind, Google, and Alphabet to develop strategy into actionable programs, ensuring alignment with organizational goals. You will partner with Pillar\u0026amp;nbsp; Leads and the wider GDI team to effectively drive goals forwards, applyexpert program and portfolio management methodologies, and guide teams through complex, ambiguous environments. You will establish the ways of working in the team, setting norms and processes to provide clarity and consistency. You will also lead and develop a team of Program Managers, fostering a culture of continuous improvement and collaboration.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Strategy and thought partnership\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner with GDI Leads to understand and align with their objectives and vision, providing effective thought-partnership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with leadership to refine strategy, representing and communicating it effectively across the team and organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Set team-wide tools, processes and norms, and enforce those to enable the team to run effectively\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate evolving strategies into a prioritized portfolio of work, providing oversight and insights to inform leadership decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with pillar\u0026amp;nbsp; leads to focus their programs into a balanced portfolio that delivers regular results\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive far-reaching buy-in for GDI strategy and impact by enabling effective Leadership and team engagement across internal and external programs and events.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Management, delivery and leadership\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage the full portfolio of initiatives, empowering the GDI PgM team, and ensuring alignment with organizational mission and impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deliver scoped, complex cross-functional programs of work when required\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and role model end-to-end program planning and delivery of key priorities when needed, utilizing appropriate program management\u0026amp;nbsp; methodologies and tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead and manage a team of Program Managers to deliver against a range of objectives \u0026amp;amp; priorities, providing leadership, advice, coaching, and guidance on projects and programs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive engagement across the team by building relationships, sharing constructive feedback and challenging established ways of thinking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure and proactively shape culture to ensure best practices in program management across the team: tracking progress, managing risks, communicating effectively, regular retrospectives, etc\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coach teams through fostering collaboration, driving engagement, and providing clear communication in pursuit of clearly defined goals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;About you\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Senior Program Manager at Google DeepMind, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working with senior leadership, confidently communicating challenges and risks while proposing new solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A track record of leading and delivering complex projects and programs in an ambiguous environment involving AI\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive expertise in portfolio and program management, with a proven ability to navigate ambiguity and adapt to change.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to navigate fast-paced, ever-evolving environments, demonstrating resourcefulness and creativity in solving complex challenges and implementing scalable solutions.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to improve processes, workflows, and governance models to enhance efficiency with cross-functional teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and relationship-building skills, with the ability to influence outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to effectively cultivate a collaborative environment, leveraging the expertise of others and empowering \u0026amp;amp; motivating team members to overcome challenges and find solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactive learner with a curious attitude and a passion for advancing AI and social impact.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Favours pragmatism over perfection, anticipating both challenges to and opportunities for impact across your focus areas.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our\u0026lt;a href=\u0026quot;https://careers.google.com/privacy-policy/\u0026quot;\u0026gt; Applicant and Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90439,"name":"Central Operations, Responsibility, and Engagement","child_ids":[],"parent_id":null}],"offices":[{"id":45977,"name":"London, UK","location":null,"child_ids":[],"parent_id":209543}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7343014","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3276404,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7343014,"updated_at":"2026-04-09T09:12:20-04:00","requisition_id":"2375","title":"Senior Psychologist ","company_name":"DeepMind","first_published":"2025-10-21T11:54:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;Snapshot\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Senior Psychologist to join the Responsible Development \u0026amp;amp; Innovation team (ReDI) at Google DeepMind. The candidate should have relevant prior industry experience, a strong general understanding of core psychological principles and the ability to leverage internal and external expertise and research experience in AI-related areas (e.g., cognitive, behavioural).\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;About us\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;The Team\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;As part of its remit, the Responsible Development \u0026amp;amp; Innovation team (ReDI) team proactively identifies, researches, and addresses emerging ethical and safety challenges in AI. Collaborating with internal and external experts, the team develops and refines practical guidelines and policies to ensure Google DeepMind’s technology aligns with our AI Principles. When necessary, the team conducts original research to inform these pioneering guidelines and policies.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The team’s relevant output includes:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Guidelines for research or governance teams in developing or deploying technology.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Artifacts, processes, or coordination mechanisms supporting the creation and implementation of these guidelines and policies within Google DeepMind and beyond, such as academic papers, evaluation frameworks, and cross-company workshops.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;As a Senior Psychologist within the Ethics Foresight team, you will be pivotal in ensuring our advanced AI models interact with people, in healthy and developmentally appropriate ways, consistent with Google DeepMind’s values. You will use your intellectual agility and deep expertise in psychology to proactively identify and address potential ethical and well-being implications of our AI technologies. You will be engaging with senior stakeholders to champion our efforts. This role demands someone capable of quickly grasping and contributing to diverse topics while possessing a strong foundational understanding of psychological principles, especially as they relate to human-computer interaction. While the primary focus is on developing internal guidelines and informing our AI development process, where appropriate, opportunities for external publication may arise.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Key responsibilities\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;General AI Psychology Guidelines: Develop practical guidelines and frameworks informed by general psychological principles (e.g., cognitive biases, well-being, mental health, developmental)\u0026amp;nbsp; and empirical data to ensure that AI models interact in ways that promote positive outcomes and mitigate potential psychological harms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support Implementation: Convert these frameworks into artefacts that include training datasets and evaluation protocol. Collaborate with model development teams to advise on and facilitate the creation and implementation of evaluation frameworks, defining key metrics, tracking protocols, and criteria for significant results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Emerging Trends: Stay informed about the latest research and emerging trends in psychology, and the evolving landscape of AI and its potential impact on users.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Risk Identification and Analysis: Proactively identify and research potential psychological risks and ethical considerations arising from interactions between advanced AI and users, drawing upon your expertise psychology, and related fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interdisciplinary Collaboration: Work closely with AI researchers, engineers, product managers, across Google DeepMind to integrate psychological insights into the AI development lifecycle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Literature Review and Expert Consultation: Conduct thorough reviews of relevant academic literature in psychology, education and technology, human-computer interaction, and AI ethics. Engage with internal and external experts to gather diverse perspectives and inform guideline development.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;About you\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Senior Psychologist for Model Policy Research at Google DeepMind, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A PhD in Psychology (Clinical, Developmental, Social, Cognitive), Education and Technology, or related fields.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Significant research experience and publications on Human-AI interaction in one or more of the following areas: affective science, cognitive science, child development, adolescent psychology, attachment theory, social-emotional learning, or other relevant areas of applied psychology.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive prior experience working in a leading industry position.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong understanding of ethical principles and considerations relevant to psychological research and the application of psychological principles in technology.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to learn quickly and contribute effectively to new and varied subjects outside of core expertise.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent research, analytical, and problem-solving skills, with the ability to critically evaluate complex information.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong written and verbal communication skills, with the ability to explain complex psychological concepts clearly and concisely to both technical and non-technical audiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to collaborate effectively within interdisciplinary teams and contribute to a fast-paced environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proactive and independent approach to identifying and addressing potential challenges and exploring novel research questions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with ethical considerations in technology development and familiarity with AI concepts and technologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in applied research settings or translating academic knowledge into practical guidelines or applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in engaging with cross-functional teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical proficiency and an in-depth understanding of the end-to-end AI development process and model lifecycles.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $174,000 - $258,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our\u0026lt;a href=\u0026quot;https://careers.google.com/privacy-policy/\u0026quot;\u0026gt; Applicant and Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;","departments":[{"id":90439,"name":"Central Operations, Responsibility, and Engagement","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7269160","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3253874,"location":{"name":"Mountain View, California, US; New York City, New York, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7269160,"updated_at":"2026-02-26T13:56:24-05:00","requisition_id":"2223","title":"Senior Technical Program Manager, GeminiApp","company_name":"DeepMind","first_published":"2025-09-23T15:49:45-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Snapshot\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is an exciting opportunity to join Google DeepMind and play a key role in shaping the future of the Gemini App!\u0026amp;nbsp; As a Technical Program Manager, you\u0026#39;ll drive the strategy and execution of high-impact Gemini launches across web, mobile, and iOS platforms. You\u0026#39;ll be working directly with our Engineering, Product and UX teams and other GDM units on cutting-edge language models to deliver groundbreaking solutions to a massive user base. This role offers hands-on project leadership, the opportunity to build innovative features, and make a real difference in how people interact with AI. Join our dynamic, fast-paced, and startup-like environment where you\u0026#39;ll be constantly pushing the boundaries of what\u0026#39;s possible with AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;The Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a unique opportunity to join the GeminiApp team and contribute to shaping the future of the Gemini App. This role will require the following skills:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead and drive progress on critical feature launches across the Gemini App ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and manage cross-functional dependencies across teams and organizations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with engineering and product leads to shape product direction and ensure successful execution.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive engineering teams to identify, prioritize, and track tasks towards completion.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively identify risks, develop mitigation plans, and implement solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate progress, risks, and plans to leadership regularly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and implement process improvements to enhance team efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage multiple time-sensitive projects concurrently.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Foster a collaborative and inclusive team culture that values innovation and excellence.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advocate for the team\u0026#39;s needs and ensure they have the resources and support to succeed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong technical background with demonstrated expertise in machine learning and generative AI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent program management and strategic planning skills to effectively drive projects forward.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional communication and influencing skills, with the ability to build strong relationships and drive alignment among diverse stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Master’s degree in Computer Science or a related field, or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience in technical program management, with a proven track record of leading complex, cross-functional programs from inception to launch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in a fast-paced, dynamic environment (e.g., startup) with a bias toward action\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience shipping successful products or features to consumers, showcasing a deep understanding of user needs and the ability to translate them into tangible results\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The US base salary range for this full-time position is between $183,000 USD - 271,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;\u0026lt;strong\u0026gt;Application deadline:\u0026lt;/strong\u0026gt; 12pm GMT Friday 27th February 2026\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":238125,"name":"GeminiApp","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7561947","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3345582,"location":{"name":"Mountain View, California, US; New York City, New York, US; Seattle, Washington, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7561947,"updated_at":"2026-02-23T17:34:26-05:00","requisition_id":"2805","title":"Staff AI Product Designer, Gemini Assistant","company_name":"DeepMind","first_published":"2026-01-23T19:10:27-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Snapshot\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Gemini App Design team is instrumental in building the Gemini Universal Assistant, the conversational AI that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity. We\u0026#39;re building innovative ways for people to get things done \u0026amp;amp; enrich their lives. Our Design team is dedicated to developing the world\u0026#39;s useful generative AI experiences.\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users. \u0026amp;nbsp;We\u0026#39;re a world-leading AI research company, pushing the boundaries of what\u0026#39;s possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We\u0026#39;re committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world\u0026#39;s most challenging problems. Join us and be part of a team that\u0026#39;s shaping the future of AI.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a highly experienced, self-starting, and innovative Senior AI Product Designer to join the Gemini App Team. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use\u0026amp;nbsp; Google’s best AI models to enrich their lives and realize their potential.\u0026amp;nbsp; You will play a crucial role in shaping the future of how people interact with AI. You will be involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect intuitive AI experiences:\u0026lt;/strong\u0026gt; Lead the design of user interfaces and consumer experiences for Gemini across diverse platforms and modalities, ensuring natural and efficient interaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Key contributor to product strategy:\u0026lt;/strong\u0026gt; Collaborate with Product and Engineering to define product strategy and influence key cross-functional decisions that drive positive user outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Innovate through user-centered design:\u0026lt;/strong\u0026gt; Translate user needs, technical understanding and business requirements into groundbreaking design solutions that amplify people’s capabilities and enrich their lives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design with systems-thinking approach:\u0026lt;/strong\u0026gt; Apply a systems-thinking approach to design user interfaces, understanding the impact of individual components and features on the overall AI-powered experience, optimized for AI\u0026#39;s probabilistic nature and multimodal capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Craft visually compelling interfaces:\u0026lt;/strong\u0026gt; Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing and highly usable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Motion and interaction design:\u0026lt;/strong\u0026gt; Design engaging interactions and fluid interfaces, utilizing tools like Origami Studio, Principle, and Protopie, and create motion designs that enhance user experience and effectively communicate complex information.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bridge design and technology:\u0026lt;/strong\u0026gt; Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements and approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Champion design innovation:\u0026lt;/strong\u0026gt; Stay current on the latest design trends and technologies, in consumer technology, generative AI and natural language processing, and leverage this knowledge to innovate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design for ethical and societal impact:\u0026lt;/strong\u0026gt; Consider the intricate interplay of AI models, user interface, ethical considerations, and societal impacts to develop responsible solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Minimum Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Design, Human-Computer Interaction, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience designing user interfaces for complex software applications, with specific experience designing for conversational AI / LLMs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A robust portfolio showcasing fluency in visual, motion, and interaction design skills, with specific examples of work specific to AI-powered interfaces and interactions and for leading consumer applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in designing user-centric experiences across diverse platforms (web, desktop, mobile), with a strong understanding of how to adapt AI interactions to different device contexts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with behavioral data and strong capability to create data-driven designs, while being equally capable of moving forward\u0026amp;nbsp; in the absence of data.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design thinking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mastery in presentation and storytelling capabilities with the ability to communicate effectively to leadership and cross company teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong systems thinker with a passion for creating innovative and user-centered AI design solutions. Ability to understand the broader implications of AI technologies and design experiences that are ethical, accessible, and impactful.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience thriving in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness required to deliver impactful designs in a fast-paced, evolving landscape.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to foster divergent design thinking and translate complex AI concepts into user-centered product visions.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in shepherding radical ideas that leverage AI to create truly transformative product experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience prototyping interactive experiences using tools like Figma, ProtoPie, or Framer.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with front-end development technologies (HTML, CSS, JavaScript).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving product impact through close collaboration with user research, including expertise in user research methodologies for AI product evaluation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience mentoring more junior teammates, but note this is not a manager role\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Application deadline:\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":238125,"name":"GeminiApp","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7762107","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3400566,"location":{"name":"Mountain View, California, US; New York City, New York, US; San Francisco, California, US; Seattle, Washington, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7762107,"updated_at":"2026-03-27T14:52:29-04:00","requisition_id":"3121","title":"Staff AI Product Designer, Gemini Assistant, GeminiApp","company_name":"DeepMind","first_published":"2026-03-27T14:52:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Snapshot\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Gemini App Design team is instrumental in building the Gemini Universal Assistant, the conversational AI that people around the world use to collaborate with generative AI to fuel their imagination, expand their curiosity, and enhance their productivity. We\u0026#39;re building innovative ways for people to get things done \u0026amp;amp; enrich their lives. Our Design team is dedicated to developing the world\u0026#39;s useful generative AI experiences.\u0026amp;nbsp;\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users. \u0026amp;nbsp;We\u0026#39;re a world-leading AI research company, pushing the boundaries of what\u0026#39;s possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We\u0026#39;re committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world\u0026#39;s most challenging problems. Join us and be part of a team that\u0026#39;s shaping the future of AI.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Integrated Assistance team contributes towards this mission by making Gemini a personalized universal assistant that is natively present across devices and apps. We unlock useful generative AI experiences through deep OS and app integrations, including the quick access Android overlay, embedded app entry points, and novel screen context capabilities. As shepherds of the largest volume surfaces in Gemini, we aim to guide users to understand the value of generative AI, including unique capabilities outside of the full screen Gemini app. We are a global team with designers based in Europe and US, and engineering and product partners in those locations as well as India. We partner closely with other UX designers in the Gemini App team, including research and modelling.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer to join our Gemini Integrated Assistance Team. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use Google’s best AI models to enrich their lives and realize their potential.\u0026amp;nbsp; You will play a crucial role in shaping the future of how people interact with AI. You will be involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect intuitive AI experiences:\u0026lt;/strong\u0026gt; Lead the design of user interfaces and consumer experiences for Gemini across diverse platforms and modalities, ensuring natural and efficient interaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Contribute to product strategy and manage stakeholders:\u0026lt;/strong\u0026gt; Use strong communication skills to collaborate with Product, Engineering and influence relevant stakeholders (e.g. in Gemini App, Android, other Google Apps) to define product strategy and influence key cross-functional decisions that drive positive user outcomes.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Innovate through user-centered design:\u0026lt;/strong\u0026gt; Translate user needs, technical understanding and business requirements into groundbreaking design solutions that amplify people’s capabilities and enrich their lives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design with systems-thinking approach:\u0026lt;/strong\u0026gt; Apply a systems-thinking approach to design user interfaces, understanding the impact of individual components and features on the overall AI-powered experience, optimized for AI\u0026#39;s probabilistic nature and multimodal capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Craft visually compelling interfaces:\u0026lt;/strong\u0026gt; Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing and highly usable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Motion and interaction design:\u0026lt;/strong\u0026gt; Design engaging interactions and fluid interfaces, utilizing tools like Origami Studio, Principle, and Protopie, and create motion designs that enhance user experience and effectively communicate complex information.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bridge design and technology:\u0026lt;/strong\u0026gt; Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements and approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Champion design innovation:\u0026lt;/strong\u0026gt; Stay current on the latest design trends and technologies, in consumer technology, generative AI and natural language processing, and leverage this knowledge to innovate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design for ethical and societal impact:\u0026lt;/strong\u0026gt; Consider the intricate interplay of AI models, user interface, ethical considerations, and societal impacts to develop responsible solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Minimum Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Design, Human-Computer Interaction, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience designing user interfaces for complex software applications, with specific experience designing for conversational AI / LLMs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A robust portfolio showcasing fluency in visual, motion, and interaction design skills, with specific examples of work specific to AI-powered interfaces and interactions and for leading consumer applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in designing user-centric experiences across diverse platforms (web, desktop, mobile), with a strong understanding of how to adapt AI interactions to different device contexts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with behavioral data and strong capability to create data-driven designs, while being equally capable of moving forward\u0026amp;nbsp; in the absence of data.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design thinking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mastery in presentation and storytelling capabilities with the ability to communicate effectively to leadership and cross company teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong systems thinker with a passion for creating innovative and user-centered AI design solutions. Ability to understand the broader implications of AI technologies and design experiences that are ethical, accessible, and impactful.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience thriving in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness required to deliver impactful designs in a fast-paced, evolving landscape.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to foster divergent design thinking and translate complex AI concepts into user-centered product visions.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in shepherding radical ideas that leverage AI to create truly transformative product experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience prototyping interactive experiences using tools like Figma, ProtoPie, or Framer.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience vibe-coding with tools like Loveable, ReplitFigmaMake, AI Studio, Cursor or AntiGravity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with front-end development technologies (HTML, CSS, JavaScript, React, Swift, Jetpack Compose) and coding tools (CLIs, IDEs).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrable experience designing polished, highly performant mobile apps and experiences requiring OS integrations (Android, iOS).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving product impact through close collaboration with user research, including expertise in user research methodologies for AI product evaluation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Application deadline:\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026amp;nbsp;\u0026lt;/h2\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/h2\u0026gt;","departments":[{"id":238125,"name":"GeminiApp","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544},{"id":73982,"name":"New York City, New York, US","location":null,"child_ids":[],"parent_id":209544},{"id":90408,"name":"San Francisco, California, US","location":null,"child_ids":[],"parent_id":209544},{"id":80279,"name":"Seattle, Washington, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7728122","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3391989,"location":{"name":"Mountain View, California, US; San Francisco, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7728122,"updated_at":"2026-03-17T13:28:00-04:00","requisition_id":"3100","title":"Staff AI Product Designer, Growth \u0026 Discovery, GeminiApp","company_name":"DeepMind","first_published":"2026-03-17T13:28:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Us\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we aim to unlock state-of-the-art artificial intelligence capabilities across Alphabet, creating positive impact and magical product experiences for billions of users.\u0026amp;nbsp; We\u0026#39;re a world-leading AI research company, pushing the boundaries of what\u0026#39;s possible with artificial intelligence. Our groundbreaking research spans areas like machine learning, neuroscience, and systems engineering, with applications ranging from scientific discovery to creating more helpful and intuitive products. We\u0026#39;re committed to developing AI responsibly and ethically, and we foster a collaborative and inclusive environment where brilliant minds come together to tackle some of the world\u0026#39;s most challenging problems. Join us and be part of a team that\u0026#39;s shaping the future of AI.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a highly experienced, self-starting, and innovative Staff AI Product Designer\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;em\u0026gt;f\u0026lt;/em\u0026gt;ocusing on our Growth and Discovery initiatives. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use\u0026amp;nbsp; Google’s best AI models to enrich their lives and realize their potential.\u0026amp;nbsp; You will play a crucial role in shaping the future of how people interact with AI. You will be involved in all aspects of the design process, from conceptualization and ideation to prototyping and implementation in a fast-moving and highly collaborative environment.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Architect intuitive AI experiences:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Lead the design of user interfaces and consumer experiences for Gemini across diverse platforms and modalities, ensuring natural and efficient interaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Key contributor to product strategy:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Collaborate with Product and Engineering to define product strategy and influence key cross-functional decisions that drive positive user outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Innovate through user-centered design:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Translate user needs, technical understanding and business requirements into groundbreaking design solutions that amplify people’s capabilities and enrich their lives.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design with systems-thinking approach:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Apply a systems-thinking approach to design user interfaces, understanding the impact of individual components and features on the overall AI-powered experience, optimized for AI\u0026#39;s probabilistic nature and multimodal capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Craft visually compelling interfaces:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing and highly usable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Motion and interaction design:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Design engaging interactions and fluid interfaces, utilizing tools like Origami Studio, Principle, and Protopie, and create motion designs that enhance user experience and effectively communicate complex information.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Bridge design and technology:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements and approaches.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Champion design innovation:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Stay current on the latest design trends and technologies, in consumer technology, generative AI and natural language processing, and leverage this knowledge to innovate.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Design for ethical and societal impact:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Consider the intricate interplay of AI models, user interface, ethical considerations, and societal impacts to develop responsible solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Minimum Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Design, Human-Computer Interaction, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience designing user interfaces for complex software applications, with specific experience designing for conversational AI / LLMs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A robust portfolio showcasing fluency in visual, motion, and interaction design skills, with specific examples of work specific to AI-powered interfaces and interactions and for leading consumer applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in designing user-centric experiences across diverse platforms (web, desktop, mobile), with a strong understanding of how to adapt AI interactions to different device contexts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with behavioral data and strong capability to create data-driven designs, while being equally capable of moving forward\u0026amp;nbsp; in the absence of data.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design thinking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mastery in presentation and storytelling capabilities with the ability to communicate effectively to leadership and cross company teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong systems thinker with a passion for creating innovative and user-centered AI design solutions. Ability to understand the broader implications of AI technologies and design experiences that are ethical, accessible, and impactful.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience thriving in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness required to deliver impactful designs in a fast-paced, evolving landscape.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to foster divergent design thinking and translate complex AI concepts into user-centered product visions.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in shepherding radical ideas that leverage AI to create truly transformative product experiences.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience prototyping interactive experiences using tools like Figma, ProtoPie, or Framer.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with front-end development technologies (HTML, CSS, JavaScript).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving product impact through close collaboration with user research, including expertise in user research methodologies for AI product evaluation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;The US base salary range for this full-time position is between $178,000 USD - $265,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Application deadline:\u0026amp;nbsp;\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":238125,"name":"GeminiApp","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544},{"id":90408,"name":"San Francisco, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7219900","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3237510,"location":{"name":"Singapore "},"metadata":[{"id":90484,"name":"Website Grouping","value":"Engineering","value_type":"single_select"}],"id":7219900,"updated_at":"2026-06-01T02:43:52-04:00","requisition_id":"2123","title":"Staff Research Engineer, Applied AI ","company_name":"DeepMind","first_published":"2025-09-15T09:11:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Job Description\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Research Engineer to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google \u0026amp;amp; top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for engineers with a strong track record of building and shipping software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product \u0026amp;amp; business impact.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role requires a strong software engineering foundation and a passion for building and iterating on software products, using state-of-the-art GenAI tools. We are looking for engineers who thrive in fast-paced environments and have a proven ability to deliver high-quality code. Experience in prototyping, building, and scaling software is essential. We particularly value experience in early-stage or startup environments, where engineers take ownership and drive product development from the ground up.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Job responsibilities\u0026lt;br\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and develop scalable software applications leveraging generative AI models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Rapidly prototype new features and iterate based on evaluation results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with researchers and product managers to translate research advancements into tangible product features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize software performance and ensure reliability of deployed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the development of best practices for building and deploying generative AI applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the architecture and development of new products \u0026amp;amp; features from 0 to 1.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Minimum qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A bachelor degree in computer science, electrical engineering or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8 years of experience in software development with one or more programming languages (e.g., Python) and with data structures/algorithms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, and fine-tuning), with expertise in areas such as media generation or reinforcement learning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with generative AI models and applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with front end development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":269924,"name":"Singapore ","location":null,"child_ids":[],"parent_id":209545}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7215819","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3236114,"location":{"name":"Singapore "},"metadata":[{"id":90484,"name":"Website Grouping","value":"Engineering","value_type":"single_select"}],"id":7215819,"updated_at":"2026-03-24T05:20:38-04:00","requisition_id":"2109","title":"Technical Lead Manager, Applied AI","company_name":"DeepMind","first_published":"2025-09-11T06:55:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Job Description\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Technical Lead Manager (TLM) to lead the development and deployment of novel applications, leveraging Google’s generative AI models. This role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google \u0026amp;amp; top Google customers. You will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models. We are looking for a TLM with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production. The ideal candidate will be motivated by the opportunity to drive product \u0026amp;amp; business impact, and develop strong relationships with research teams.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;This role requires a strong software engineering foundation, a passion for building and iterating on software products, and proven leadership skills. We are looking for a TLM who thrives in fast-paced environments, and has the proven ability to deliver high-quality code \u0026amp;amp; guide a team to success. Experience in end-to-end development is essential, as is the ability to mentor and develop junior engineers. We particularly value experience in early-stage or startup environments, where managers take ownership and drive product development from the ground up.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Job responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead a team in the design and development of scalable software applications leveraging generative AI models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Guide the team in rapidly developing new features and iterating based on evaluation results.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with researchers and product managers to translate research advancements into tangible product features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Oversee the optimization of software performance and ensure the reliability of deployed applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion the development of best practices for building and deploying generative AI applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the architecture and development of new products \u0026amp;amp; features from 0 to 1.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Mentor and develop team members, fostering a collaborative and high-performing environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with PM team to qualify \u0026amp;amp; size new project opportunities.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Minimum qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A bachelor degree in computer science, electrical engineering or equivalent experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5 years of experience in minimum of one ML field (eg. media generation, reinforcement learning, infrastructure etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience leading technical projects and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning), including at least 5 years of experience in a people leadership role overseeing and guiding technical teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with generative AI models and applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with front-end development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience in rapidly developing and shipping software products in a fast-paced, customer-facing startup-like environment, demonstrating adaptability to changing priorities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience evaluating model performance, analyzing results, and implementing improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with cloud computing platforms and infrastructure (e.g., Google Cloud Platform, AWS, Azure).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, etc.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/h2\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":269924,"name":"Singapore ","location":null,"child_ids":[],"parent_id":209545}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7839536","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3418640,"location":{"name":"London, UK"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7839536,"updated_at":"2026-04-23T11:29:10-04:00","requisition_id":"3148","title":"Technical Program Manager, Agents Innovation - 12 Month FTC","company_name":"DeepMind","first_published":"2026-04-23T11:25:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;About Us\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;The mission of Agents Innovation is to create a powerful innovation flywheel that accelerates the development of next-generation agents, delivering continuous model improvements to Gemini and enabling seamless agentic deployment across Google’s product ecosystem.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Technical Program Manager for Agents Innovation, you will be at the heart of this flywheel. You will bring the execution excellence to de-risk research bets and bring the latest Incubations to our users. You will drive the technical execution of programs that turn breakthrough agentic capabilities into production-ready models that power Gemini and Google products.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Key responsibilities:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Orchestrate the Innovation Flywheel: Manage the lifecycle of agentic innovations from early research bets to incubation and upstreaming into the unified Gemini recipe.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead complex engineering workstreams focused on core agentic capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive the development and adoption of eval benchmarks to ensure model improvements are rigorously validated on benchmarks like SWE-bench and GDPVal.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cross-Functional Integration: Build resilient pathways between DeepMind technical experts and partner product teams, ensuring a \u0026quot;multi-way win\u0026quot; where a single agentic advancement (e.g., skill writing) unlocks value across multiple Google surfaces.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;About You\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of experience leading complex, organizational-level technical programs in a software development or R\u0026amp;amp;D environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of the AI model development lifecycle, including pre-training, post-training, and infrastructure constraints, especially in agentic development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to manage engineering backlogs, navigate technical ambiguity, and drive execution on high-priority research strikes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional stakeholder management skills with the ability to build consensus across a matrixed enterprise.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Thrive in fast pace, high velocity environnment, quick to pivot and adapt to new directions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communicator, data driven and precise.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds, and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026amp;nbsp;\u0026lt;/h2\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":45977,"name":"London, UK","location":null,"child_ids":[],"parent_id":209543}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7473344","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3318245,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7473344,"updated_at":"2026-05-26T14:17:00-04:00","requisition_id":"2633","title":"Technical Program Manager, Antigravity","company_name":"DeepMind","first_published":"2025-12-15T18:50:42-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;Snapshot\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The Role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Technical Program Manager to drive product development and launches for key products, including Antigravity. You will be responsible for orchestrating complex launch processes, managing cross-functional dependencies, and ensuring successful adoption of cutting-edge tools and features across Google and externally. This role requires a blend of program management expertise, technical acumen, and strong communication skills to manage releases, coordinate with various teams, and support our growing user base.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Key responsibilities:\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Antigravity Product Launches:\u0026lt;/strong\u0026gt; Drive end-to-end launch processes for product launches, including working across cross-functional stakeholders to manage new features both across Google and externally, overseeing release management, and managing serving capacity to ensure smooth rollouts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Team Coordination: \u0026lt;/strong\u0026gt;Lead collaborations with teams across Google to develop new features and integrate into our products. Build effective working relationships, guiding alignment on project goals, managing interdependencies, and ensuring clear communication and risk management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;User Engagement and Community Building:\u0026lt;/strong\u0026gt; Strategize and implement programs to increase product adoption across Google and externally, supporting and nurturing our users, crafting and disseminating broader communications, including user-facing documentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Product Metrics \u0026amp;amp; Reporting:\u0026lt;/strong\u0026gt; Drive creation of product dashboards to track key metrics and report on progress, understanding evolving user needs from both Google teams and externally for individuals/enterprises.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;About You\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In order to set you up for success as a Technical Program Manager at Google DeepMind, \u0026amp;nbsp;we look for the following skills and experience:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in a technical field or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5 years of experience in program or project management in a technical software environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience managing product launches and working through the full software development lifecycle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical skills and experience with data analysis.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years of relevant work experience in a technical environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience launching internal and external-facing developer products at scale to individuals as well as businesses and enterprises and promoting adoption within a large organization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of release management processes and best practices.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to lead complex projects with cross-team stakeholders, influencing and leading without managerial authority.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent interpersonal and communication skills, with a demonstrated ability to work effectively across organizational boundaries engaging senior leadership.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Application deadline: 12pm PST Tuesday 13th January 2026\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-weight: 400;\u0026quot;\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026amp;nbsp;\u0026lt;/h2\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7477606","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3319382,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7477606,"updated_at":"2026-05-26T14:17:33-04:00","requisition_id":"2645","title":"Technical Program Manager, Antigravity (Modeling \u0026 Evals)","company_name":"DeepMind","first_published":"2025-12-18T12:29:31-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h4\u0026gt;Snapshot\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;The Role\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Technical Program Manager to lead critical initiatives across Modeling, Data, Evaluations, and User Signals for the Antigravity team. You will play a key role in enhancing our models and product by managing the end-to-end lifecycle of data contributions, model development, evaluation processes, and feedback loops. This role involves close collaboration with research teams, managing custom model pipelines, analyzing user signals from multiple sources, and overseeing vendor-based testing.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Key responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Antigravity Data Flywheel Owner: \u0026lt;/strong\u0026gt;Drive the roadmap on data, evaluations, and modeling improvements to core models, features, and new use cases in collaboration with the Antigravity research teams. Manage the evaluation process for new and existing models, and provide feedback to the modeling and research teams. Partner with modeling teams to ensure seamless handoffs and coordination of data and evaluation analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Model Deployments: \u0026lt;/strong\u0026gt;Manage approval processes working closely with the research and engineering teams as well as cross-functional stakeholders to successfully develop and launch models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;User Signals Program: \u0026lt;/strong\u0026gt;Establish and refine systems for collecting, triaging, and analyzing both internal and external user feedback to ensure resolution of high-priority issues. Coordinate with vendors for product testing and report on key findings to the engineering and product teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Enable Engineering and Research Team Velocity:\u0026lt;/strong\u0026gt; Manage compute resources for modeling efforts and support team infrastructure needs. Act as a point of contact for resolving technical issues for the team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In order to set you up for success as a Technical Program Manager at DeepMind, \u0026amp;nbsp;we look for the following skills and experience:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s degree in Computer Science, a related technical field, or equivalent practical experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5 years of experience in a technical program management role in a research environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with machine learning models, data pipelines, and evaluation processes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical skills and experience with data analysis.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Master’s degree or PhD in Computer Science or a related technical field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;8+ years of relevant work experience in a technical environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on end-to-end model flywheel processes, including data collection strategies, model evaluation techniques, and metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with modeling research teams, including managing model training and deployment processes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to lead complex projects with cross-team stakeholders, influencing and leading without managerial authority.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent interpersonal and communication skills, with a demonstrated ability to work effectively in ambiguous, fast-paced R\u0026amp;amp;D environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Application deadline: 12pm PST Tuesday 13th January 2026\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90442,"name":"GenAI","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7535866","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3336831,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7535866,"updated_at":"2026-01-26T04:49:14-05:00","requisition_id":"2738","title":"Tech Strategy Director, Compute, Google DeepMind","company_name":"DeepMind","first_published":"2026-01-14T13:43:35-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;Snapshot\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;This is a critical and high impact strategic role that will drive AI strategy, infrastructure investments and AI product portfolio optimization across Google. The role sits within Google DeepMind’s Technology Strategy (TechStrat) function and is a leadership role within Techstrat’s Compute team. Since compute has become the key ingredient for AI model leadership, AI serving success and next generation AI research, this leader will drive high impact decisions that will define the success of Google, with implications on the future of AI for the world.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;About us\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;The role\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;As one of the key senior leaders of the compute Tech Strategy team, this role will own the success of our AI strategy by driving the maximal product impact for Google and AI impact for humanity. This leader will have the responsibility of framing key strategic decisions for our SVP+ leadership group based on deep analysis of the situation including value at stake from AI investments, investment optimization options, Industry understanding, financial modeling, product strategy analysis and understanding. They will be constantly looking for opportunities to push the envelope of impact from our investments in AI and inspire the team to do the same. This leader will also drive the synthesis of the situation into SVP+ consumable frameworks and crisp grounded and data backed options. They will then ensure the strategy is executed flawlessly partnering with a multitude of cross functional teams and stakeholders.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;Key responsibilities\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Personally drive and amplify impact through leading a team to\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Investigate and drive clarity on some of Google’s hardest long range strategic questions in AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Model scenarios and various tradeoffs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create SVP+ forum content (presentations, communications, mandates)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help develop a per-mandate monitoring view to keep programs accountable\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with operational teams and forums in AI\u0026amp;nbsp; to ensure that company-wide SVP+mandates are set up for success -- well organized, staffed and delivering on desired goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay connected across Google to maintain a living catalog of ongoing experiments \u0026amp;amp; proposed innovations that may become worthy of discussion at NRC\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify gaps in our processes and information and propose/implement solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;About you\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Are you a PM who thrives as both a central hub orchestrating complex and long running investigations AND a rapid iteration IC who can quickly create something out of nothing and move on to the next thing? This is the job for you. In both cases, you must be able to concisely communicate the merits \u0026amp;amp; risks of multiple scenarios in documents that will get circulated broadly and to some of the most senior folks at the company. If you have high energy, a positive attitude, strong tech judgment, excellent interpersonal skills, and are excited to handle complex pan-Google topics and SVP audiences, this job will offer an opportunity to have a massive company-wide impact.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In order to set you up for success as a Product Manager at DeepMind, we look for the following skills and experience:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BA/BS degree in Computer Science/ EE or equivalent practical experience in a technical and/or business area\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;15+ years of product management experience for a technology-driven company, at scale, including a proven track record in driving 0-\u0026amp;gt;1 product capabilities and founding or incubating new, high-impact technical initiatives.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional organizational talent running high velocity, high impact, strategic programs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stellar verbal and written communication; past experience with SVP/VP+ level audiences\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Extensive experience in product operations and business strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytics, strategy, and data fluency experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in a role that deals with machine learning and/or compute\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Innovative problem solver that can turn ambiguous problem spaces into clear solutions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to influence without direct authority, you adeptly work on and with technical and cross-functional or highly matrixed teams in a way that leads to aligned decision making\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;In addition, the following would be an advantage:\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the role of compute and data in building LLMs and the capabilities of these models\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong product vision and sensibility, ideally with prior and proven experience embedding applied AI capabilities into products and a track record of leveraging AI productivity tools\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A quantitative and analytical mentality to understand Google PA and external user needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience navigating sensitive organizational dynamics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborating within data-driven or quantitative-focused teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A consistent record of creative problem solving and a bias towards action\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Outstanding business judgment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Outstanding organizational, prioritization, and multitasking skills.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven track record of building positive relationships with senior\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;stakeholders and influencing strong personalities within a complex business environment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in corporate planning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to manage multiple concurrent complex interactions with geographically disparate teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Past people management experience; Experience in hiring and leading teams, including distributed teams\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Application deadline:\u0026lt;/strong\u0026gt; 13th Feb 2026\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our\u0026lt;a href=\u0026quot;https://careers.google.com/privacy-policy/\u0026quot;\u0026gt; Applicant and Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/h4\u0026gt;","departments":[{"id":90456,"name":"Office of the CEO","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544},{"id":73982,"name":"New York City, New York, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7535915","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":3336857,"location":{"name":"Mountain View, California, US"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Operations","value_type":"single_select"}],"id":7535915,"updated_at":"2026-01-26T04:49:14-05:00","requisition_id":"2739","title":"Tech Strategy Product Manager, Google DeepMind","company_name":"DeepMind","first_published":"2026-01-14T13:35:24-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h4\u0026gt;Snapshot\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;Support the analytical and operational frameworks that enable Leadership (SVP+) decision forums to govern compute utilization and planning. You will be responsible for translating complex data into the strategic insights that align DeepMind and Google’s broader AI strategy.\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;About Us\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Investigative Modeling:\u0026lt;/strong\u0026gt; Conduct rigorous, deep-dive investigations into Google’s hardest long-range strategic questions, providing the data-driven clarity needed for executive decision-making.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Scenario Architecture:\u0026lt;/strong\u0026gt; Model complex scenarios and trade-offs to surface opinionated strategies for maximizing AI value across Google.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;SVP+ Content Support:\u0026lt;/strong\u0026gt; Contribute to the development of high-stakes presentations, communications, and mandates for SVP-level forums, ensuring technical accuracy and narrative flow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Cross-Functional Partnership:\u0026lt;/strong\u0026gt; Act as a bridge between technical teams and strategy, partnering with virtual teams across Google to ensure product and policy plans are grounded in reality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Execution \u0026amp;amp; Monitoring:\u0026lt;/strong\u0026gt; Help maintain per-mandate monitoring views to keep programs accountable; collaborate with MLSA to ensure company-wide mandates are organized and delivering on goals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;strong\u0026gt;Strategic Cataloging:\u0026lt;/strong\u0026gt; Maintain a \u0026quot;living catalog\u0026quot; of ongoing experiments and proposed innovations across Google to identify topics worthy of senior executive discussion.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;About You\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;p\u0026gt;You are a Product Manager who thrives in \u0026lt;strong\u0026gt;high-velocity, high-intensity environments\u0026lt;/strong\u0026gt; where the stakes are massive and the pace is relentless. You are an execution-oriented IC who can quickly create \u0026quot;something out of nothing,\u0026quot; iterate based on feedback from senior leaders, and move immediately to the next challenge.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;This role is for you if:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You demonstrate the analytical rigor and strategic curiosity required to sustain a high level of performance across complex, pan-Google workstreams—pairing a \u0026#39;big picture\u0026#39; perspective with the ability to remain precise and detail-oriented at the speed of an SVP-led forum.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are a master of execution—you don\u0026#39;t just point at problems; you build the models (often joining together disparate data sources from multiple teams) and write the documents that solve them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are an expert at synthesis, possessing the communication skills to distill complex \u0026quot;noise\u0026quot; into actionable \u0026quot;signal\u0026quot; for executive audiences, delivering elite-level work even under the most demanding deadlines.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;Skills and Experience\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;BA/BS degree or equivalent practical experience in a technical and/or business area.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in product management, management consulting, or a high-growth corporate strategy role.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional organizational talent and experience running high-velocity, high-impact programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong analytical fluency: Deep experience in a role that deals with machine learning, compute infrastructure, or large-scale data modeling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Innovative problem solver who can turn ambiguous, messy problem spaces into clear, executable solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4\u0026gt;\u0026lt;strong\u0026gt;In addition, the following would be an advantage:\u0026lt;/strong\u0026gt;\u0026lt;/h4\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the role of compute and data in building LLMs and the technical capabilities of these models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A proven track record of \u0026quot;managing up\u0026quot; and supporting senior stakeholders in a complex, matrixed business environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in corporate planning or product operations within a major tech ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to manage multiple, concurrent, highly complex workstreams with minimal friction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A \u0026quot;bias towards action\u0026quot; and a history of creative problem-solving in fast-paced settings.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Application deadline:\u0026lt;/strong\u0026gt; 13th Feb 2026\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our\u0026lt;a href=\u0026quot;https://careers.google.com/privacy-policy/\u0026quot;\u0026gt; Applicant and Candidate Privacy Policy\u0026lt;/a\u0026gt;.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;\n\u0026lt;h4\u0026gt;\u0026amp;nbsp;\u0026lt;/h4\u0026gt;","departments":[{"id":90456,"name":"Office of the CEO","child_ids":[],"parent_id":null}],"offices":[{"id":45978,"name":"Mountain View, California, US","location":null,"child_ids":[],"parent_id":209544},{"id":73982,"name":"New York City, New York, US","location":null,"child_ids":[],"parent_id":209544}]},{"absolute_url":"https://job-boards.greenhouse.io/deepmind/jobs/7913506","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":true}],"internal_job_id":3440258,"location":{"name":"London, UK"},"metadata":[{"id":90484,"name":"Website Grouping","value":"Engineering","value_type":"single_select"}],"id":7913506,"updated_at":"2026-05-12T06:49:04-04:00","requisition_id":"3163","title":"UX Researcher Role - 12 Months  - FTC","company_name":"DeepMind","first_published":"2026-05-11T14:01:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Snapshot:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Inception Artificial Intelligence User Experience (AIUX) team within Google Deepmind builds new breakthrough experiences to benefit humanity.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our work is at the cutting-edge of people-focused research and the expanding generative AI landscape. Our objective is to move rapidly through prototyping and agile research to identify the boundaries of the future, experimenting with and envisioning potential scenarios both within and beyond Google\u0026#39;s existing product ecosystem.\u0026amp;nbsp; We work to build people focused solutions that have the potential to create net new experiences that transform how people interact with technology.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Us:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a \u0026lt;strong\u0026gt;User Researcher Contractor\u0026lt;/strong\u0026gt; for our London offices. This position is for a 12-month period.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll help define the next frontier of Generative AI by exploring 0 → 1 breakthrough experiences and demonstrating them to executives throughout Google.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are a multidisciplinary team of researchers, designers, product managers, program managers, and prototypers who believe that AI can create a better world, but only when it’s designed for people first.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will be responsible for UXR activities like scoping strategic learning programs, helping the team meet exploration milestones, and helping to define and embody the culture of AIUX.\u0026amp;nbsp; Success requires seamless collaboration with multidisciplinary\u0026amp;nbsp; internal and external teams to ensure our insights are directly steering our exploration strategy.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Job Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with multidisciplinary team members within the Inception team and beyond\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify research questions to best provide strategic guidance - honestly assess what is valuable for breakthrough experiences and what may not be\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design, lead and execute research studies. Be flexible in methodology, from foundational to experimental to evaluative.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stay on the vanguard of AI products through daily tool use, experimentation, and exploration. Consistently cultivate an informed POV on how technical capabilities will line up with user needs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continue to maintain strong and informed opinions about the state of AI technology in the relevant exploration space\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Take personal ownership of big ideas and drive them forward - hold the vision throughout, think big and be an \u0026quot;architect of the possible\u0026quot;. Rapidly and playfully explore and iterate on ideas.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide actionable insights that directly influence product strategy\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;You could be a great match if…\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You are passionate about a balance of foundational and evaluative research and the AI product landscape. You get excited when learning about new topic areas, surfacing assumptions and exploring how to create new value for users through research and building.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You are\u0026amp;nbsp; well-grounded in established research methodologies and techniques, yet nimble and experimental. We’re looking for people with a creative, fresh approach to understanding, socializing and helping small exploration pods take action on insights.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You get excited about enabling 0 to 1 product development, and all the ambiguity that entails. Your work will be instrumental in transforming ideas into early prototype experiences by helping teams define their Minimum Lovable Product and refine their product strategy. This is a highly ambiguous space, so we need someone who is comfortable working within an environment that is rapidly evolving.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You have a deep curiosity in understanding and playing with new technologies. You create momentum by pushing past abstraction—you find yourself exploring and building prototypes/experiences/hypotheses early, iterating quickly, and validating user needs.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Additional Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The AIUX Team is cross functional and consists of Designers, UX Program Managers, Engineers, Product Managers, Researchers, and more. We care deeply about operational excellence and are continuously considering opportunities to iterate and improve in order to deliver outsized value to Google Deepmind.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As many of our projects are early stage with small scrappy teams. We’re looking for candidates who can wear multiple hats on fast moving explorations. Past experience in other domains is always a plus: marketing, data science, GTM planning, operations and beyond.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Minimum Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You must meet these minimum qualifications to apply for this job\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Background in Computer Science, Human-Computer Interaction, Cognitive Science, Experimental Psychology, Anthropology, Information Science or related field (in lieu of degree, 4 years relevant work experience).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expertise in research design - utilizing various methods including but not limited to in-depth-interviews, concept research, field research, usability studies, and surveys.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for using AI to benefit humanity everywhere in the world, including communities currently underserved by technology.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills with the ability to listen, articulate positions succinctly, and advocate for both research \u0026amp;amp; design\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A collaborative mindset - our team of researchers share works-in-progress and that is\u0026amp;nbsp; a core value\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience impacting product strategy\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with the latest AI tools and models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A penchant for speed, and comfort with imperfect but directional insights\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working with agencies or directing other research groups to craft and direct field research\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience conducting global market research\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to create powerful research outputs used to inspire and influence stakeholders (e.g., multimedia stories, video editing)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience on innovation teams or other demonstrated instances of pathfinding and experimenting with what’s possible\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.\u0026lt;/p\u0026gt;","departments":[{"id":300722,"name":"Inception ","child_ids":[],"parent_id":null}],"offices":[{"id":45977,"name":"London, UK","location":null,"child_ids":[],"parent_id":209543}]}],"meta":{"total":42}}