Position Details
About this role
This internship offers PhD students an opportunity to work on cutting-edge machine learning projects at Stripe, focusing on foundation models and scalable ML systems in a fintech environment.
Key Responsibilities
- Develop and deploy ML systems
- Work on foundation models
- Collaborate across teams
- Research and improve ML techniques
- Contribute to product enhancements
Technical Overview
The role involves developing and deploying large-scale ML models using Python, Scala, Spark, and related tools, with a focus on AI, data science, and reinforcement learning techniques.
Ideal Candidate
The ideal candidate is a PhD student in Computer Science or Machine Learning, with strong programming skills in Python, Scala, and Spark, and experience with advanced ML techniques such as Large Language Models and Reinforcement Learning. They should demonstrate collaborative research experience and a proactive learning attitude.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Not pursuing a PhD or not expected to graduate winter 2026 or spring/summer 2027, Lack of programming experience in Python, Scala, Spark, No experience with ML models or operations, Unwillingness to work on collaborative projects
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