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Stripe

Machine Learning Engineer, Transaction Risk

Seattle, United States · Hybrid · Full time · Senior level

About the role

Lead ML projects to detect fraud and abuse across Stripe's global network. Build, deploy, and improve production ML systems protecting businesses from emerging threats.

What you’ll do

• Lead ML projects end to end from problem definition to deployment. • Build, train, evaluate, and deploy fraud detection models. • Investigate emerging fraud patterns and ship protections. • Design features and evaluation strategies for adversarial environments. • Mentor engineers and lead incident response for model regressions.

What you’ll bring

• 5+ years developing and deploying ML models in production. • Proven track record leading ML projects with measurable impact. • Strong ML, statistics, and experiment design foundations. • Experience with production ML systems and software engineering. • Work authorization for the job location.

About Stripe

Stripe is a financial infrastructure platform enabling businesses to accept payments and grow revenue globally.

Posted 8 hours ago