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Machine Learning Engineer at Stripe - ApplyBlast

Machine Learning Engineer

Stripe

1 month ago

3.7 on Glassdoor

New York City, New York, United States

Onsite

Full Time

Senior

1 applicant

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About this role

As a machine learning engineer on the Link Fraud and Auth team, you will build and operate models and risk decisioning systems to protect Link while maximizing authorization rates for legitimate payments. You will work across the full machine learning lifecycle, from analyzing fraud patterns to deploying and monitoring models in production. Your work will directly influence Link's fraud performance and ability to expand into new products and payment experiences.

Responsibilities

Build and deploy machine learning models to detect fraud and abuse
Design data pipelines and features for reliable production models
Develop risk decisioning systems integrating with payments stack

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.