PhD Machine Learning Engineer, Intern

Stripe • Seattle, WA

5d

About The Position

Stripe is offering PhD machine learning engineering internships for summer 2027 within its Applied ML, Data Science, Risk, and Payments organizations. Interns will contribute to projects that enhance Stripe products, including foundation models for applications such as fraud detection, enhanced support, and predicting user behavior. Projects may include the Stripe Assistant and Stripe Foundation Model, applying machine learning to financial services and data.

The role involves developing and deploying large-scale machine learning systems and contributing to the end-to-end design, training, improvement, and launch of production models. Interns collaborate across teams, incorporate feedback, proactively address challenges, learn unfamiliar technologies, and communicate work status effectively. Applicants are expected to return to their degree program after the internship.

Requirements

• Pursuing a PhD in Computer Science, Machine Learning, or a closely related field, with expected graduation in winter 2027 or spring/summer 2028.
• Practical programming and machine learning experience through projects, coursework, or research.
• Familiarity with languages such as Python, Scala, and Spark, and libraries such as Pandas, NumPy, and Scikit-learn.
• Expertise in machine learning areas such as supervised and unsupervised learning techniques and ML operations; experience with Large Language Models or Reinforcement Learning may also be relevant.
• Ability to work collaboratively and receive and apply feedback from stakeholders.
• Proactive approach to learning unfamiliar systems and ability to understand complex systems independently.
• Intent to return to the degree program after completing the internship or co-op.

Nice To Haves

• 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 good test coverage, and completing projects with minimal defects.
• Familiarity with navigating new codebases and managing work across different programming languages.
• Excellent written communication skills for explaining work to teammates and wider Stripe audiences.

Responsibilities

• Develop and deploy large-scale machine learning systems that drive business value across various domains.
• Design, train, improve, and launch machine learning models as part of the end-to-end model development process.
• Write production-scale ML models for Stripe's economic infrastructure products.
• Collaborate across teams, incorporate feedback, and proactively seek solutions to challenges.
• Learn new technologies and approaches, ask insightful questions, and communicate work status effectively.

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree