Master's ML Engineer Intern — Build Production ML at Scale

Openskill; San Francisco, New York, Seattle (CA, NY, WA); On-site; USD 34,000 - 55,000; Full time

Job summary

Stripe's Applied ML, Data Science, Risk, and Payments organizations offer Master's machine learning engineering internships for the summer of 2027. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for fraud detection, enhanced support, and predicting user behavior.

As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data.

Qualifications

• Pursuing a Master's degree in Computer Science, Machine Learning, or a closely related field, graduating winter 2027 or spring/summer 2028.
• Practical experience with programming and machine learning through projects, coursework, or research.
• Familiarity with ML techniques, MLOps, and possibly Large Language Models or Reinforcement Learning.
• Ability to work on collaborative projects and incorporate feedback.

Responsibilities

• Develop and deploy large-scale ML systems that drive business value.
• 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 solve challenges.
• Learn new technologies quickly and communicate status effectively.

Skills

Python

Scala

Spark

Pandas

NumPy

Scikit-learn

Education

Master's degree in Computer Science, Machine Learning, or related field

Job description

Stripe's Applied ML, Data Science, Risk, and Payments organizations offer Master's machine learning engineering internships for the summer of 2027. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for fraud detection, enhanced support, and predicting user behavior.

As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data.