Master's ML Engineer Intern — Foundation Models

Stripe, Inc.; Menlo Park, San Francisco, New York (CA, CA, NY); On-site; USD 30,000 - 47,000; Full time

Job summary

Stripe, Inc. offers Master's machine learning engineering internships for Summer 2027 in Applied ML, Data Science, Risk, and Payments.

Internship focuses on foundation models used for fraud detection, support, and predicting user behavior, including Stripe Assistant and Stripe Foundation Model. As an intern, you will tackle challenging problems at the intersection of finance, technology, and data, contributing to critical Stripe products and gaining exposure to production ML pipelines in a

Qualifications

• Master's degree in CS/ML or related field with expected graduation winter 2027 or spring/summer 2028.
• Practical programming and ML experience through projects, classwork, or research.
• Familiarity with Python, Scala, Spark and ML libraries such as Pandas, NumPy, Scikit-learn.
• Experience with ML techniques, ML operations, and possibly LLMs or RL.
• Ability to collaborate and incorporate feedback from stakeholders.

Responsibilities

• Develop and deploy large-scale ML systems delivering business value across domains.
• Design, train, improve, and launch ML models end-to-end.
• Write production-scale ML models enabling access to econ infra for diverse businesses.
• Collaborate across teams and proactively seek solutions.
• Rapidly learn new technologies and communicate status clearly.

Skills

Collaborative work

Proactive learning

Independent problem-solving

Excellent communication

Education

Master's degree in CS/ML or related field

Tools

Python

Scala

Spark

Pandas

NumPy

Scikit-learn

Job description

Stripe, Inc. offers Master's machine learning engineering internships for Summer 2027 in Applied ML, Data Science, Risk, and Payments.

Internship focuses on foundation models used for fraud detection, support, and predicting user behavior, including Stripe Assistant and Stripe Foundation Model. As an intern, you will tackle challenging problems at the intersection of finance, technology, and data, contributing to critical Stripe products and gaining exposure to production ML pipelines in a