Stripe
Master's Machine Learning Engineer, Intern
San Francisco, New York City, Seattle +3 · Internship · Posted Oct 30, 2026
- Location
- San Francisco, New York City, Seattle
New York, New York, United States
Seattle, Washington, United States
San Francisco, California, United States - Education
- Pursuing a Master's degree in Computer Science, Machine Learning, or a closely related field; expected graduation in winter 2027 or spring/summer 2028.
About the job
Build and deploy large-scale machine learning systems and models for Stripe products, including work in fraud detection, support, and user behavior prediction.
What you'll do
- Design, train, improve, and launch machine learning models.
- Develop and deploy production-scale ML systems across business domains.
- Collaborate across teams, incorporate feedback, and communicate work progress.
What they ask for
- Pursuing a Master's degree in Computer Science, Machine Learning, or a closely related field; expected to graduate in winter 2027 or spring/summer 2028.
- Practical programming and machine learning experience through projects, coursework, or research.
- Knowledge of supervised and unsupervised learning and ML operations; LLM or reinforcement learning experience may also be relevant.
- Intent to return to the degree program after the internship.
Nice to have
- Peer-reviewed publications presented at top-tier venues.
- Experience writing high-quality pull requests, maintaining test coverage, and completing projects with minimal defects.
Tools
Python, Scala, Spark, Pandas, NumPy, Scikit-learn
AI focus
Develop and deploy machine learning models and systems, potentially including foundation models for fraud detection, enhanced support, and user behavior prediction.
Model-written summary · the original posting is authoritative