PhD Machine Learning Engineer, Intern
Remote • San Francisco, New York City, Seattle
Posted 8h ago
Job Location
San Francisco, New York City, Seattle
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
Stripe is seeking PhD machine learning engineering interns for the summer of 2027 to contribute to critical projects that enhance Stripe's products. Interns will focus on areas such as foundation models for fraud detection, enhanced support, and user behavior prediction. This role offers an exceptional opportunity to work on challenging problems at the intersection of finance, technology, and data, including creative projects like the Stripe Assistant and the Stripe Foundation Model, leveraging machine learning to revolutionize business interactions with financial services.
Responsibilities
- Develop and deploy large-scale machine learning systems for significant business value.
- Manage the end-to-end process of designing, training, improving, and launching machine learning models.
- Write production-scale ML models for deployment to enable economic infrastructure access.
- Collaborate with cross-functional teams, incorporating feedback and proactively solving challenges.
- Rapidly learn new technologies and approaches, asking insightful questions and communicating work status effectively.
Requirements
- Pursuing a PhD in Computer Science, Machine Learning, or a related field, with graduation expected in winter 2027 or spring/summer 2028.
- Practical experience in programming and machine learning through projects, coursework, or research.
- Familiarity with Python, Scala, Spark, Pandas, NumPy, and Scikit-learn.
- Expertise in machine learning areas like supervised and unsupervised learning, ML operations, and potentially LLMs or Reinforcement Learning.
- Demonstrated ability to work on collaborative projects and apply feedback from stakeholders.
- Proactive approach to learning unfamiliar systems and understanding complex systems independently.
- Intent to return to a degree program after the internship.