Build, train, evaluate and deploy ML models to detect fraud across Stripe's global payments network. Research emerging fraud patterns, apply deep learning advances, and co-build new fraud products with top customers. Requires 6+ years production ML experience.
Salary not listed
On-site6+ YOEML Engineering
About the role
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
Minimum 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
Preferred 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
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