{"absolute_url":"https://job-boards.greenhouse.io/xai/jobs/4703144007","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":4409671007,"location":{"name":"Palo Alto, California"},"metadata":[{"id":22659078007,"name":"Job Description via Google Doc URL [please share with Olivia]","value":null,"value_type":"short_text"},{"id":16340689007,"name":"Featured Role","value":null,"value_type":"yes_no"}],"id":4703144007,"updated_at":"2026-08-27T18:09:48-04:00","requisition_id":"221","title":"Machine Learning Engineer - Recommendation Systems","company_name":"SpaceXAI","first_published":"2025-04-10T23:21:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. \u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. \u0026lt;/span\u0026gt;\u0026lt;span style=\u0026quot;font-family: arial, helvetica, sans-serif;\u0026quot;\u0026gt;All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;ABOUT THE ROLE:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;We’re seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. This is an exciting opportunity for individuals with a engineer or scientist background to apply their skills to recommendation systems, ranking algorithms, search technologies, and many other systems. You’ll work at the intersection of advanced AI development and real-world impact, enhancing the ability to connect users with relevant content, accounts, and experiences.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;RESPONSIBILITIES:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Designing and architecting recommendation algorithms across various product surfaces\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Leverage all of SpaceXAI\u0026#39;s infra and AI stacks to dramatically enhance the user experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write data pipelines and training jobs that continuously learn from product data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Iterate and improve the algorithm by gathering user feedback in real time through experimentation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensuring scalability and efficiency of machine learning systems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;BASIC QUALIFICATIONS:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Knowledge of data infrastructure like Kafka, Clickhouse, and Spark\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced in implementing recommender systems and/or deep learning applications at industrial scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Skilled in one or more DL software frameworks such as JAX or PyTorch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional candidates may be experienced in writing CUDA kernels\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;COMPENSATION AND BENEFITS:\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;$180,000 - $440,000 USD\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short \u0026amp;amp; long-term disability insurance, life insurance, and various other discounts and perks.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;SpaceXAI is an equal opportunity employer. For details on data processing, view our \u0026lt;/em\u0026gt;\u0026lt;em\u0026gt;\u0026lt;a href=\u0026quot;https://x.ai/legal/recruitment-privacy-notice\u0026quot; target=\u0026quot;_blank\u0026quot;\u0026gt;Recruitment Privacy Notice\u0026lt;/a\u0026gt;.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4024733007,"name":"Engineering","child_ids":[4064292007,4064383007,4064385007,4046294007,4052172007,4046295007],"parent_id":null}],"offices":[{"id":4035106007,"name":"Palo Alto, CA","location":"Palo Alto, California","child_ids":[],"parent_id":4054926007}],"ai_disclaimer":null,"include_ai_disclaimer":null,"ai_opt_out_request_url":null}