Senior Real-time Fraud ML Engineer

Stripe; Seattle (WA); Hybrid; USD 212,000 - 318,000; Full time

Job summary

Stripe's Radar ML team builds fraud detection models to protect the global payments network. In this role you will own ML work across the full lifecycle, researching new fraud patterns, building and deploying models, and sharing results with top Stripe customers.

You will optimize the most intensive models, and have opportunities to ship 0-to-1 products from scratch while collaborating with engineering and product teams on scalable, low-latency solutions.

Qualifications

• 6+ years of production ML model experience.
• 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.

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

Skills

Python

SQL

Spark

PyTorch

ML systems

Statistics

Experiment design

Job description

Stripe's Radar ML team builds fraud detection models to protect the global payments network. In this role you will own ML work across the full lifecycle, researching new fraud patterns, building and deploying models, and sharing results with top Stripe customers.

You will optimize the most intensive models, and have opportunities to ship 0-to-1 products from scratch while collaborating with engineering and product teams on scalable, low-latency solutions.