- Company: Stripe
- Location: Toronto
- Job type: Internship
About the role
Stripe is a financial infrastructure platform used by millions of companies to accept payments and grow revenue. This internship is part of Stripe’s Applied ML, Data Science, Risk, and Payments organizations. You will contribute to critical projects that enhance Stripe’s products, focusing on foundation models for tasks like fraud detection, enhanced support, and predicting user behavior. This is an opportunity to work on creative projects such as the Stripe Assistant and the Stripe Foundation Model.
Responsibilities
- Develop and deploy large-scale machine learning systems that drive business value.
- Engage in the end-to-end process of designing, training, improving, and launching ML models.
- Write production-scale ML models to help enable economic infrastructure access globally.
- Collaborate across teams to incorporate feedback and solve challenges.
- Rapidly learn new technologies and communicate work status effectively.
Requirements
- A Master’s degree in Computer Science, Machine Learning, or a related field, with graduation expected in Winter 2027 or Spring/Summer 2028.
- Practical experience with programming and ML, including familiarity with Python, Scala, Spark, Pandas, NumPy, and Scikit-learn.
- Expertise in supervised and unsupervised learning, ML operations, and potentially LLMs or Reinforcement Learning.
- Demonstrated ability to work on collaborative projects and apply feedback.
- Proactive approach to learning unfamiliar systems and understanding complex systems independently.
- Intent to return to the degree program after the internship.
Pay and benefits
Specific pay details are not listed in the job description. This is a summer 2027 internship.
How to apply
Apply directly on Stripe’s own careers website. Omadaily never charges job seekers.
