Machine Learning Engineer, Transaction Risk
Core
Design, build, and ship production ML systems for Stripe Radar to detect fraud and abuse across the global payment network.
Role type
Senior IC machine learning engineer (transaction risk)
Builds
Adaptive fraud detection systems, real-time models, and AI agents for Stripe's payment infrastructure
Domain
Fintech / Payments / Fraud Detection
Deliverable
production ML models
Required skills
Machine learning, statistics, model evaluation, experiment design, software engineering, production ML systems, mentoring
Preferred skills
Fraud detection, deep learning, graph-learning, LLMs, low-latency systems, 0→1 product building, AI tooling
Technologies
Transformer models, graph intelligence, LLMs
Responsibilities
Lead end-to-end ML projects from problem definition to deployment and monitoring; Build and deploy models detecting fraud across the global network; Investigate emerging fraud patterns and implement protections; Design features and evaluation strategies for adversarial environments; Make architecture tradeoffs balancing quality, latency, and cost; Lead incident response for model regressions; Partner with cross-functional teams to improve Radar products; Build reusable components and AI-assisted workflows; Mentor engineers and conduct code reviews
