{"absolute_url":"https://stripe.com/jobs/search?gh_jid=8137997","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":3522132,"location":{"name":"South San Francisco, CA"},"metadata":null,"id":8137997,"updated_at":"2026-09-04T14:12:16-04:00","requisition_id":"See Opening ID","title":"Machine Learning Engineer","company_name":"Stripe","first_published":"2026-08-17T18:06:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Who we are\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About Stripe\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone\u0026#39;s reach while doing the most important work of your career.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What you’ll do\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design state-of-the-art ML models and large-scale ML systems for underwriting and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design systems to speed up the time from idea to deployment of new models.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experiment and iterate on ML models (using tools including PyTorch and TensorFlow) to achieve key business goals and drive efficiency.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop pipelines and automated processes to train and evaluate models in offline and online environments.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate ML models into production systems and ensure their scalability and reliability.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with product and strategy partners to propose, prioritize, and implement new product features.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Who you are\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Minimum requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;Must have a Bachelor\u0026#39;s degree or foreign equivalent in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field, plus two (2) years of experience in Building and shipping ML systems in production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Must have two (2) years of experience in each of the following:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;ML algorithms and model architectures;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Designing, training and evaluating machine learning models;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Productionizing and deploying machine learning models at scale;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Orchestrating data pipelines and leveraging large-scale datasets; and\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building and deploying ML models to solve business problems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Must have one (1) year of experience in each of the following:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;ML libraries and frameworks including PyTorch, TensorFlow, XGBoost or Spark; and\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep learning, including transformers, test-time compute, or reinforcement learning.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Salary: $212,000 - $318,000/yr.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This salary range represents the base salary range for the role and any sales commissions / sales bonuses targets, if applicable, would be in addition to the base salary.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;40 hrs/week\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;50% Telecommuting Permitted.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Multiple Positions Available.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;\u0026lt;strong\u0026gt;CA29\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;#LI-DNI\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;","departments":[{"id":365162,"name":"Global Operations","child_ids":[],"parent_id":349230}],"offices":[{"id":344486,"name":"US-PERM","location":null,"child_ids":[],"parent_id":65234}],"ai_disclaimer":null,"include_ai_disclaimer":false,"ai_opt_out_request_url":"http://app.greenhouse.io/ai_opt_out_request/job_post/8137997/ai_opt_out"}