Machine Learning Engineer, Radar

About the role

The Radar ML team at Stripe builds fraud detection models to protect the company's $1.9 trillion payment network. This role involves building, training, evaluating, and deploying ML models, researching new fraud patterns, and collaborating with top Stripe customers.

Responsibilities

• Build, train, evaluate, and deploy ML models that detect fraud across Stripe’s global payments network
• Research emerging fraud patterns like token theft and develop ML solutions to address them
• Apply advances in deep learning to improve model quality and detection rates at scale
• Co-build new fraud and abuse products directly with top users

Requirements

• 6+ years of industry experience training, evaluating, and deploying ML models in a production environment
• Proficiency in Python and common data and ML frameworks like SQL, Spark, and PyTorch
• Strong knowledge of production ML systems; and data analysis, statistics, and experiment design fundamentals
• Active interest in the latest ML developments, and how they can be leveraged to solve business problems

Qualifications

• Experience building and optimizing real-time, low-latency ML infrastructure at scale
• Strong software engineering skills and ability to design ML solutions through entire product stack
• Experience applying ML to fraud detection, risk modeling, or a closely related domain
• Experience designing ML products used by millions of users