Real-Time Fraud ML Engineer

Stripe; New York (NY); On-site; USD 180,000 - 270,000; Full time

Benefits offered by this job

Equity

401(k)

Health insurance

Dental and Vision benefits

Wellness stipend

Job summary

Stripe’s Radar ML team builds the fraud-detection models protecting Stripe’s payments network. In this role you own ML work across the full lifecycle—from researching fraud patterns to deploying models and sharing results with top Stripe customers.

You may optimize the most intensive ML models and ship 0-to-1 products from scratch. We value strong Python and ML framework skills, production ML systems expertise, and an active interest in latest ML developments.

Qualifications

• 2+ years of experience training, evaluating, and deploying ML models in a production environment.
• Proficiency in Python and data/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

ML modeling

Python

SQL

Spark

PyTorch

Job description

Stripe’s Radar ML team builds the fraud-detection models protecting Stripe’s payments network. In this role you own ML work across the full lifecycle—from researching fraud patterns to deploying models and sharing results with top Stripe customers.

You may optimize the most intensive ML models and ship 0-to-1 products from scratch. We value strong Python and ML framework skills, production ML systems expertise, and an active interest in latest ML developments.