212K–318K USD / year
Machine Learning Engineer, Link
Machine learningOn-site — New York, US
Published on 2026-09-21
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About this role
As a Machine Learning Engineer on the Link Fraud and Auth team, you will develop models and systems to enhance payment security and performance. Your role will encompass the full machine learning lifecycle, impacting authorization rates and fraud performance.
About the company
Stripe provides payment infrastructure and financial tools that help businesses accept payments, manage subscriptions, and move money globally. It serves startups through large enterprises with APIs for online and in-person commerce.
The team
Link Fraud and Auth team
Stack
PythonSQLSparkXGBoost
What you'll do
- Build and operate machine learning models to detect fraud
- Investigate emerging threats using large-scale datasets
- Design data pipelines and monitoring systems for reliable models
- Collaborate with cross-functional teams to improve product outcomes
What we're looking for
- 6+ years of experience with machine learning models in production
- Strong Python programming skills
- Experience with data pipelines, model evaluation, and deployment
- Ability to analyze complex datasets and apply statistical methods
Nice to have
- Experience with fraud detection or risk modeling
- Building real-time decisioning systems
- Familiarity with payments or fintech sectors
Benefits
- Equity participation
- 401(k) plan
- Medical, dental, and vision benefits