180K–270K USD / year
Machine Learning Engineer, Radar
Machine learningOn-site — New York, Seattle, South San Francisco HQ
Published on 2026-10-07
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About this role
As a Machine Learning Engineer in the Radar team, you will develop and deploy models for fraud detection in real-time, addressing emerging fraud patterns. This role involves optimizing existing models and working directly with top customers to enhance Stripe's fraud protection mechanisms.
About the company
Stripe provides payment infrastructure and financial tools that help businesses accept payments, manage subscriptions, and move money globally. It serves startups through large enterprises with APIs for online and in-person commerce.
The team
Radar ML team
Stack
PythonSQLSparkPyTorch
What you'll do
- Build, train, evaluate, and deploy ML models for fraud detection
- Research and develop solutions for new fraud patterns
- Apply deep learning advancements to improve model quality
- Collaborate on new fraud and abuse prevention products
What we're looking for
- 2+ years of experience in ML model deployment
- Proficiency in Python and data/ML frameworks
- Strong knowledge of production ML systems
- Interest in leveraging ML for business solutions
Nice to have
- Experience in software engineering
- Background in real-time ML infrastructure
- Knowledge of fraud detection and safety applications