Build production machine learning systems at Stripe while applying Python and model development skills during a summer 2027 internship.
Stripe offers Master's machine learning engineering internships across Applied ML, Data Science, Risk, and Payments. You will address problems spanning finance, technology, and data, contributing to products such as Stripe Assistant and Stripe Foundation Model. The work supports foundation models for fraud detection, enhanced support, and user behavior prediction.
Key Responsibilities:
- Develop and deploy large-scale machine learning systems
- Design, train, improve, and launch machine learning models
- Write production-scale models for global businesses
- Collaborate across teams and incorporate stakeholder feedback
- Learn technologies and communicate work status effectively
Requirements:
- Pursue a Master's degree in Computer Science or related field
- Expect graduation in winter 2027 or spring/summer 2028
- Demonstrate programming and machine learning experience
- Know Python, Scala, Spark, Pandas, NumPy, or Scikit-learn
- Understand supervised learning, unsupervised learning, or ML operations
Apply machine learning, production engineering, and team-oriented problem-solving to Stripe's financial infrastructure during this internship.