Apply machine learning research to Stripe’s financial infrastructure as a PhD Machine Learning Engineering Intern for summer 2027. Build models for fraud detection and user behavior.

Stripe offers internships across Applied ML, Data Science, Risk, and Payments organizations. You will contribute to projects involving foundation models, the Stripe Assistant, and the Stripe Foundation Model. The internship connects finance, technology, and data through production-scale machine learning systems.

Key Responsibilities:
Develop and deploy large-scale machine learning systems
Design, train, improve, and launch machine learning models
Write production-scale models for businesses globally
Collaborate across teams and incorporate stakeholder feedback




Learn technologies and communicate work status effectively

Requirements:
Pursuing a related PhD, graduating winter 2027 or spring/summer 2028
Programming and machine learning experience through projects, classwork, or research
Familiarity with Python, Scala, Spark, Pandas, NumPy, or Scikit-learn
Expertise in supervised learning, unsupervised learning, or ML operations
Intent to return to the degree program afterward

Bring PhD-level machine learning knowledge, programming experience, and cooperative problem-solving to Stripe’s applied internship projects.
J-18808-Ljbffr

📌 Phd Machine Learning Engineering Intern Montreal
🏢 Stripe
📍 Montreal