Build machine learning systems at Stripe as a Master's intern, using Python, Scala, Spark, and production-scale modeling. Contribute during summer 2027.

Stripe offers Master's machine learning engineering internships across Applied ML, Data Science, Risk, and Payments. You will work on foundation models, fraud detection, support, and user behavior prediction. The internship connects finance, technology, and data through critical product projects.

Key Responsibilities:

- Develop and deploy large-scale machine learning systems
- Design, train, improve, and launch machine learning models
- Write production-scale models supporting global economic infrastructure
- Collaborate across teams and incorporate stakeholder feedback




- Learn technologies and communicate work status effectively

Requirements:

- Pursuing a Master's degree in computer science or related field
- Graduating winter 2027 or spring or summer 2028
- Practical programming and machine learning experience
- Familiarity with Python, Scala, Spark, Pandas, NumPy, and Scikit-learn
- Intent to return to the degree program afterward

Apply machine learning, programming, and team-oriented development skills to Stripe's foundation models and global financial infrastructure.

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📌 Master's Machine Learning Engineer Intern (Toronto)
🏢 FDE Times
📍 Toronto