# Machine Learning Engineer, Link at Stripe

- Company: Stripe
- What the company does: Stripe is a financial services platform that helps all types of businesses accept payments, build flexible billing models, and manage money movement. Backed by General Catalyst, Khosla and Kleiner Perkins.
- Company website: https://stripe.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: New York City
- Work setup: On-site
- Posted: 2026-09-21
- Apply by: 2026-11-05
- Apply: https://stripe.com/jobs/search?gh_jid=8197886
- Page: https://www.1752.vc/careers/jobs/stripe-machine-learning-engineer-link/

## About the role

As a machine learning engineer on Link Fraud and Auth, you’ll build and operate models and risk decisioning systems that protect Link while helping more legitimate payments succeed. You’ll work across the full machine learning lifecycle, from analyzing fraud patterns and identifying opportunities to building, deploying, monitoring, and improving models in production.

## What they're looking for

- 6+ years of industry experience building and shipping machine learning models in production
- Strong programming skills in Python and experience with common data and machine learning tools, such as SQL, Spark, and XGBoost
- Strong knowledge of production machine learning systems, including data pipelines, feature development, model evaluation, deployment, monitoring, and iteration
- Experience working with large and complex datasets and applying data analysis, statistics, and experimentation fundamentals
- Demonstrated ability to take an open-ended business problem, determine where machine learning can help, and own the solution through production
- Strong judgment in selecting practical modeling approaches and evaluating tradeoffs among model performance, system complexity, latency, and business impact

Tags: Consumer Network - Eng