Stripe
Machine Learning Engineer, Link
New York City +1 · Full-time · Posted Sep 21, 2026
- Location
- New York City
US - Experience
- 6+ years of industry experience building and shipping machine learning models in production.
About the job
Builds and operates production machine-learning models and risk decisioning systems to detect Link fraud and abuse while improving legitimate payment authorization.
What you'll do
- Build, deploy, monitor, and improve fraud and abuse models across Link.
- Analyze large-scale data and develop features, pipelines, experiments, and evaluation methods for production risk systems.
- Own risk problems from analysis and technical design through launch, measurement, and iteration, collaborating across teams.
What they ask 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.
- Knowledge of production ML systems, including data pipelines, feature development, evaluation, deployment, monitoring, and iteration.
- Experience with large, complex datasets and data analysis, statistics, and experimentation fundamentals.
Nice to have
- Machine learning experience in fraud, risk, payment authorization, identity, account security, or another adversarial domain.
- Experience with real-time, low-latency ML or risk decisioning at scale; production model integration; or payments, fintech, digital wallets, or money movement.
Tools
Python, SQL, Spark, XGBoost
AI focus
Applies machine learning to detect fraud and abuse, manage payment risk, and improve authorization rates; work includes building, deploying, monitoring, and iterating on production models and decisioning systems.
Model-written summary · the original posting is authoritative