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.
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