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Senior Real-Time Fraud ML Engineer

Posted today

fdetimesSeattle (WA)

SENIORITY

Lead

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About the role

Stripe's Radar ML team seeks a seasoned Machine Learning Engineer to own major ML systems end-to-end, from problem framing to production deployment and monitoring. You'll design features for fraud detection, ship scalable models, and collaborate with cross-functional partners to advance Radar protections at Stripe scale. You will lead architecture decisions, drive experimentation rigor, and mentor engineers while delivering high-impact, reliable ML solutions in a fast-paced payments environment.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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