Fraud-Fighting ML Engineer — Remote

Stripe; San Francisco (CA); Hybrid; USD 180.000 - 270.000; Vollzeit

Benefits dieser Stelle

Equity

Company bonus

401(k)

Medical insurance

Wellness stipend

Zusammenfassung

Stripe’s Radar ML team builds fraud-detection models to protect the payment network used by millions of businesses. You will own ML work across the full lifecycle, from researching patterns to deploying models, with opportunities to ship 0-to-1 products and optimize the most intensive models.

You’ll collaborate with leading Stripe customers, apply deep learning advances, and contribute to new fraud and abuse products, in a hybrid work arrangement with strong emphasis on impact and reliability.

Qualifikationen

• 2+ years of experience training, evaluating, and deploying ML models in production.
• Proficiency in Python and data/ML tools (SQL, Spark, PyTorch).
• Strong foundation in production ML systems, data analysis, statistics, and experiment design.
• Active interest in latest ML developments for business impact.

Aufgaben

• Build, train, evaluate, and deploy ML models that detect fraud across Stripe’s global payments network.
• Research emerging fraud patterns 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 with top users.

Kenntnisse

ML modeling

Python

SQL

Spark

PyTorch

Production ML systems

Experiment design

Data analysis

Fraud detection

Jobbeschreibung

Stripe’s Radar ML team builds fraud-detection models to protect the payment network used by millions of businesses. You will own ML work across the full lifecycle, from researching patterns to deploying models, with opportunities to ship 0-to-1 products and optimize the most intensive models.

You’ll collaborate with leading Stripe customers, apply deep learning advances, and contribute to new fraud and abuse products, in a hybrid work arrangement with strong emphasis on impact and reliability.