Machine Learning Engineer, Radar

Responsibilities

• Build, train, evaluate, and deploy ML models to detect fraud across Stripe’s global payments network.
• Research emerging fraud patterns such as token theft and develop ML solutions to address them.
• 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.

Requirements

• At least 2 years of experience training, evaluating, and deploying ML models in a production environment.
• Proficiency in Python, SQL, Spark, and PyTorch.
• Strong knowledge of production ML systems, data analysis, statistics, and experiment design fundamentals.
• Active interest in current ML developments and applying them to business problems.
• Preferred: strong software engineering skills and the ability to design ML solutions across the full product stack.
• Preferred: experience building and optimizing real-time, low-latency ML infrastructure at scale.
• Preferred: experience applying ML to fraud detection, integrity, trust and safety, or a closely related domain.