PhD Machine Learning Engineer, Intern

About the Internship

Stripe is offering PhD Machine Learning Engineering internships for the summer of 2027. This opportunity focuses on contributing to critical projects that enhance Stripe's products, particularly in areas like foundation models for tasks such as fraud detection, enhanced support, and predicting user behavior. Interns will work on challenging problems at the intersection of finance, technology, and data, including projects like the Stripe Assistant and the Stripe Foundation Model.

Key Responsibilities

• Develop and deploy large-scale machine learning systems.
• Engage in the end-to-end process of designing, training, improving, and launching machine learning models.
• Write production-scale ML models for global economic infrastructure access.
• Collaborate across teams, incorporating feedback and seeking solutions.
• Rapidly learn new technologies and approaches, asking insightful questions and communicating work status effectively.

Requirements & Tech Stack

• Minimum Requirements:

• Pursuing a PhD in Computer Science, Machine Learning, or a closely related field, with an expected graduation in winter 2027 or spring/summer 2028.

• Practical experience with programming and machine learning through projects, classwork, or research.

• Familiarity with languages such as Python, Scala, Spark.

• Familiarity with libraries such as Pandas, NumPy, and Scikit-learn.

• Expertise in machine learning areas including supervised learning, unsupervised learning, ML operations, and potentially Large Language Models 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.

• Preferred Qualifications:

• Two years of university education or equivalent experience with in-depth knowledge in specific machine learning domains.

• Published and presented peer-reviewed articles in top-tier venues.

• Experience writing high-quality pull requests, maintaining test coverage, and completing projects with minimal defects.

• Familiarity navigating new codebases and managing work across different programming languages.

• Excellent written communication skills.

Application Requirements

• A detailed resume or LinkedIn profile.
• Examples of relevant work and learning approach (e.g., GitHub repositories, StackOverflow contributions, project portfolios).