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Machine Learning Engineer, Transaction Risk at Stripe - ApplyBlast

Machine Learning Engineer, Transaction Risk

Stripe

5 hours ago

3.7 on Glassdoor

Seattle, Washington, United States

Onsite

Full Time

Senior

0 applicants

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About this role

The Machine Learning Engineer, Transaction Risk role at Stripe involves designing, building, and deploying machine learning systems to detect fraud and abuse across the company's global payment network. This position focuses on developing adaptive models and AI agents to protect businesses throughout the customer lifecycle, from signup to ongoing usage, while addressing emerging threats in the AI space. The engineer will lead ML projects from problem definition to production, ensuring high-quality, low-latency systems that balance model performance with operational reliability.

Responsibilities

Design and deploy machine learning models to detect fraud and abuse
Lead end-to-end ML projects from problem definition to production
Investigate emerging fraud patterns and build adaptive risk systems

Skills

About Stripe

stripe.com

Headquarters

South San Francisco, California, United States

Company Size

1001-5000 employees

Founded

2010

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Stripe is a financial infrastructure platform that provides a suite of APIs and tools to power online and in-person payments and commerce for internet businesses of all sizes. Its product set includes payment processing, billing and subscriptions, marketplace payouts, fraud prevention, card issuing, tax and reporting, and global payment method and currency support. Developers and companies choose Stripe for its clean APIs, extensive documentation, and integrated compliance and developer tooling. Stripe also offers advanced capabilities — including AI-driven features, treasury and embedded-finance tools — to help businesses scale and grow revenue.