Machine Learning Engineer, Radar

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Machine Learning Engineer, Radar in USA

Stripe
Full time
Email

USA
10/08/2026
Report

Seattle, WA

Responsibilities

Build, train, evaluate, and deploy ML models to detect fraud across Stripe’s global payments network.
Research emerging fraud patterns such as token theft 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 directly with top Stripe users.

Requirements

At least 2 years of experience training, evaluating, and deploying ML models in a production environment.
Proficiency in Python, SQL, Spark, and PyTorch.
Strong knowledge of production ML systems, data analysis, statistics, and experiment design fundamentals.
Active interest in current ML developments and applying them to business problems.
Preferred: strong software engineering skills and the ability to design ML solutions across the full product stack.
Preferred: experience building and optimizing real-time, low-latency ML infrastructure at scale.
Preferred: experience applying ML to fraud detection, integrity, trust and safety, or a closely related domain.

Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.

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