Stripe
PhD 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
- Currently pursuing a PhD in Computer Science, Machine Learning, or a closely related field; expected to graduate in winter 2027 or spring/summer 2028.
About the job
Develop and deploy production-scale machine learning systems and models for Stripe products, including projects involving foundation models, fraud detection, customer support, and user behavior prediction.
What you'll do
- Design, train, improve, and launch machine learning models end to end.
- Build and deploy large-scale production ML systems across business domains.
- Collaborate across teams, incorporate feedback, and communicate work progress.
What they ask for
- Pursuing a PhD in Computer Science, Machine Learning, or a closely related field, with expected graduation in winter 2027 or spring/summer 2028.
- Practical programming and machine learning experience through projects, coursework, or research.
- Expertise in machine learning areas such as supervised and unsupervised learning and ML operations.
- Intent to return to the degree program after the internship/co-op.
Nice to have
- Experience with Large Language Models or Reinforcement Learning.
- Peer-reviewed publications presented at top-tier venues.
Tools
Python, Scala, Spark, Pandas, NumPy, Scikit-learn
AI focus
Develop and deploy machine learning models and systems, including foundation models for fraud detection, enhanced support, and predicting user behavior; projects may include the Stripe Assistant and Stripe Foundation Model.
Model-written summary · the original posting is authoritative