The Machine Learning Engineer role at Stripe focuses on building and deploying fraud detection models to protect Stripe's payment network. The Radar ML team is responsible for developing real-time deep learning models that adapt to emerging fraud patterns. This position offers the opportunity to work on impactful ML projects that directly influence Stripe's business and its users. The role also involves collaborating with top customers to co-build new fraud and abuse products.

• 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, data analysis, statistics, and experiment design fundamentals.
• Active interest in the latest ML developments and their application to solve business problems.

• 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.