Machine Learning Engineer, Radar
Core
Build, train, evaluate, and deploy ML models to detect fraud across Stripe's global payments network.
Role type
Machine Learning Engineer (Fraud Detection)
Builds
Fraud detection models and abuse products for Stripe's global payments network
Domain
Fintech / Payments / Fraud Detection
Deliverable
production ML models
Required skills
Python, SQL, Spark, PyTorch, deep learning, statistics, experiment design
Preferred skills
software engineering, real-time low-latency ML infrastructure, fraud detection domain expertise
Technologies
PyTorch, Spark, Python, SQL
Responsibilities
Build, train, evaluate, and deploy ML models to detect fraud; Research emerging fraud patterns such as token theft; Apply deep learning advances to improve model quality and detection rates at scale; Co-build new fraud and abuse products directly with top Stripe users
