Overview Machine Learning Engineer, Foundation Model Stripe’s mission is to accelerate global economic and technological development. We offer financial infrastructure and a variety of services to serve the needs of a wide range of users, from startups to enterprises, with global scale and industry-leading reliability and product quality. We use machine learning to scalably and intelligently optimize across both access and risk, and to re-imagine product experiences with AI Assistants and Agents. What you'll do Develop foundation models for payments, merchants, and consumers that span Stripe product areas. Fine-tune and optimize LLMs using state-of-the-art techniques, including multimodal alignment, knowledge distillation, quantization, and reasoning to build highly specialized models. Drive technical excellence through hands-on contributions to the design and development of state-of-the-art AI/ML systems, conducting architecture reviews, and maintaining high code quality. Partner with engineering and product leaders across Stripe to identify and prioritize foundational investments such as foundation models, assistants, and agents that unlock new capabilities for product teams. Contribute to Stripe's technical strategy by representing AI/ML engineering perspectives in company-wide technical decisions and roadmap planning. Mentor ML engineers across Stripe on ML experimentation, helping teams navigate complex technical trade-offs and adopt platform capabilities effectively.

Who you are Minimum Requirements 5+ years of experience building and shipping ML models that power AI/ML product features, with a strong emphasis on modern technologies such as DNNs, Transformers, and Foundation Models. Strong programming skills in Python with demonstrated ability to write production-quality code. A strong experimental mindset, with a proven track record of identifying, prototyping, and validating SOTA machine learning methods to enhance model performance. Proven ability to shepherd large, complex ML projects and drive transformational change in an organization. Deep passion for solving interesting problems and for building the latest technologies rather than relying on outdated methods. Preferred Qualifications A PhD or Master’s degree with a research-oriented background, with the ability to dive into research papers and stay current with academic publications. Experience with a large-scale, data-rich product in a domain such as payments, commerce, search, or social media. Knowledge of the challenges and opportunities in applying ML to fraud prevention, merchant intelligence, or financial services. Published research or open source contributions in AI/ML or related fields.

Hybrid work at Stripe This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). In-office vs Remote expectations In-office: Office-assigned Stripes spend at least 50% of the time in their local office or with users. Remote: You would regularly work from home rather than a Stripe office. Stripe does not cover relocation for remote roles. Apply for roles that match your location.

Pay and benefits The annual US base salary range for this role is $212,000 – $318,000. Additional benefits may include equity, company bonus or sales commissions/bonuses; 401(k); medical, dental, and vision benefits; and wellness stipends. Salary ranges may be narrowed during the interview process based on experience, qualifications, and location, and applicants outside the US may request salary range for their location during the interview process.

Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries: Software Development, Financial Services, and Technology, Information and Internet

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