About the role#
Stripe is offering PhD machine learning engineering internships for the summer of 2027. You will work within our Applied ML, Data Science, Risk, and Payments organizations. This role focuses on projects that enhance our products, including foundation models for fraud detection, support, and user behavior prediction. You will tackle problems at the intersection of finance and technology while working on initiatives like 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.
- Write production-scale code for models that support global economic infrastructure.
- Collaborate with teams to incorporate feedback and solve technical challenges.
- Learn new technologies and communicate your progress effectively.
What you'll need#
- PhD in Computer Science, Machine Learning, or a related field, with an expected graduation date in winter 2027 or spring/summer 2028.
- Intent to return to your degree program after the internship.
- Practical experience with programming and machine learning.
- Familiarity with Python, Scala, Spark, Pandas, NumPy, and Scikit-learn.
- Expertise in supervised and unsupervised learning techniques and ML operations.
- Ability to work on collaborative projects and understand complex systems independently.
- Experience writing high-quality pull requests, maintaining test coverage, and navigating new codebases.
- Published and presented peer-reviewed articles in top-tier venues.
- Excellent written communication skills.
Location & details#
- This is a full-time, paid, on-site internship for Summer 2027.
- Locations: San Francisco, CA; New York City, NY; Seattle, WA.
- Sponsorship is not provided for this role.
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.
