PhD ML Engineer Intern: Foundation Models for Finance

Stripe, Inc.; San Francisco (CA); On-site; USD 54,000 - 62,000; Part time

Job summary

Stripe, Inc. is offering PhD machine learning engineering internships for the summer of 2027. The program focuses on foundation models for fraud detection, support, and predicting user behavior, with roles across Applied ML, Data Science, Risk, and Payments.

Interns tackle challenges at the intersection of finance, technology, and data, contributing to projects like Stripe Assistant and the Stripe Foundation Model. You will develop production-scale ML systems and work with diverse teams globally.

Qualifications

• Pursuing a PhD in Computer Science, Machine Learning or related field, with expected graduation winter 2027 or spring/summer 2028.
• Practical programming and ML experience demonstrated by projects, coursework, or research.
• Familiarity with Python, Scala, Spark and libraries such as Pandas, NumPy, Scikit-learn.
• Knowledge of supervised/unsupervised learning, ML ops, and possibly LLMs or RL.
• Proactive learner with ability to work independently and take feedback from stakeholders.

Responsibilities

• Develop and deploy large-scale ML systems that drive business value across domains.
• Design, train, improve, and launch ML models end-to-end.
• Write production-scale ML models deployed to enable economic infrastructure access globally.
• Collaborate across teams to incorporate feedback and address challenges.
• Quickly learn new technologies and communicate status of work effectively.

Skills

Python

Scala

Spark

Pandas

NumPy

Scikit-learn

Machine learning

Collaborative work

Independent learning

Education

PhD in Computer Science

PhD in ML or related field

Tools

Git

Jupyter

Job description

Stripe, Inc. is offering PhD machine learning engineering internships for the summer of 2027. The program focuses on foundation models for fraud detection, support, and predicting user behavior, with roles across Applied ML, Data Science, Risk, and Payments.

Interns tackle challenges at the intersection of finance, technology, and data, contributing to projects like Stripe Assistant and the Stripe Foundation Model. You will develop production-scale ML systems and work with diverse teams globally.