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Stripe's mission is to accelerate global economic and technological development by offering financial infrastructure. They use machine learning to optimize between expanding access and minimizing risk, and are leveraging generative AI to re-imagine product experiences and create AI Assistants and Agents for both customers and internal employees. The ML Foundations team is building foundational AI and machine learning systems to power the product suite, solve challenging problems in payments and fraud, and transform how Stripe uses ML.

Requirements

• 10+ 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 languages used for ML systems (Python, Java, Scala, or Go) with demonstrated ability to write production-quality code
• 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
• Deep neural networks
• Transformers
• Foundation Models

Responsibilities

• Develop foundation models for payments, merchants, and consumers that span Stripe product areas
• Develop Universal AI Assistants and AI Agents to answer questions and automate tasks across Stripe products
• 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 systems design, helping teams navigate complex technical trade-offs, and adopt platform capabilities effectively

Other

• A strong builder mindset, with the ability to define a team's charter and lead the development of complex systems from scratch
• Proven ability to shepherd large, complex ML projects and drive transformational change in an organization
• Deep passion for solving really interesting problems and for building the latest technologies rather than relying on outdated methods
• 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