About the role#
Stripe is hiring PhD students for machine learning engineering internships during the summer of 2027. You will work within our Applied ML, Data Science, Risk, and Payments organizations. This role focuses on building foundation models for tasks like fraud detection, user behavior prediction, and enhanced support. You will contribute to projects such as the Stripe Assistant and the Stripe Foundation Model.
What you'll do#
- Develop and deploy large-scale machine learning systems that provide business value.
- Design, train, improve, and launch machine learning models from start to finish.
- Write production-scale models to help businesses access economic infrastructure.
- Collaborate across teams to incorporate feedback and solve technical challenges.
- Learn new technologies and approaches quickly.
- Ask insightful questions and communicate your work status effectively.
What you'll need#
- Pursuit of a PhD in Computer Science, Machine Learning, or a related field.
- Expected graduation in winter 2027 or spring/summer 2028.
- Practical experience with programming and machine learning through projects or research.
- Familiarity with Python, Scala, Spark, Pandas, NumPy, and Scikit-learn.
- Expertise in supervised and unsupervised learning, ML operations, and experience with Large Language Models or Reinforcement Learning.
- Ability to work on collaborative projects and apply feedback from stakeholders.
- Proactive approach to learning unfamiliar systems and working independently.
- Intent to return to your degree program after the internship.
- Experience writing high-quality pull requests, maintaining test coverage, and minimizing defects.
- Strong written communication skills.
- Published and presented peer-reviewed articles in top-tier venues is preferred.
Location & details#
- Location: Toronto, Ontario, Canada.
- Term: Summer 2027.
- Work Modality: On-site.
- This is a full-time, paid internship.
About Stripe
Stripe builds programmable financial services for businesses. The company provides tools for accepting payments and managing revenue. It serves a range of clients from startups to large enterprises. Founded in 2010, the firm maintains headquarters in South San Francisco and Dublin. It employs over 17,000 people across multiple global offices.
How to get in at Stripe
Applying early gives you a distinct advantage at Stripe, as recruiters often review candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, ensuring you can submit your application among the first. This helps you avoid the frustration of waiting in a growing queue while others are already being considered. You can also improve your response rates by reaching out to the people actually hiring for the team. Intern Insider surfaces the recruiters behind the company's roles so you can contact them directly to ask about the position or a referral. A brief, professional message to the right person often beats a blind application.
