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StripeStripeSeattle, WA

Machine Learning Engineer, Payment Intelligence

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

Skills

PythonSQLSparkPyTorchDeep LearningMachine LearningFraud DetectionML InfrastructureStatisticsexperiment design

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