Machine Learning Engineer, Radar

📋 Description

• Build, train, evaluate, and deploy ML models that detect fraud across Stripe's global payments
• 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

• 2+ years of 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
• Active interest in the latest ML developments, and how they can be leveraged to solve business