Master's ML Engineer Intern

Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world's largest enterprises to the most ambitious startups, use Stripe to accept payments, grow their revenue, and open new business opportunities. The mission is to increase the GDP of the internet, and there is a great deal of work ahead.

About the internship

Stripe's Applied ML, Data Science, Risk, and Payments organizations are offering Master's machine learning engineering internships for summer 2027. Interns will contribute to projects that directly improve Stripe's products, including foundation models used for many tasks such as fraud detection, enhanced support, and predicting user behavior.

Interns will work on problems at the intersection of finance, technology, and data, including projects like the Stripe Assistant and the Stripe Foundation Model, which use machine learning to change how businesses interact with financial services and data.

Responsibilities

• Develop and deploy large-scale machine learning systems that drive significant business value across domains.
• Take part in the end-to-end process of designing, training, improving, and launching machine learning models.
• Write production-scale ML models that will be deployed to help Stripe extend economic infrastructure access to businesses worldwide.
• Collaborate across teams, incorporate feedback, and proactively look for solutions to challenges.
• Learn new technologies and approaches quickly, asking insightful questions and communicating the status of your work clearly.

Minimum requirements

• A deep understanding of computer science, gained through a Master's degree in Computer Science, Machine Learning, or a closely related field, with an expected graduation in winter 2027 or spring/summer 2028.
• Practical experience with programming and machine learning, shown through projects, coursework, or research. Familiarity with Python, Scala, Spark, and libraries such as Pandas, NumPy, and Scikit-learn.
• Knowledge of machine learning areas such as supervised and unsupervised learning, ML operations, and possibly Large Language Models or Reinforcement Learning.
• Demonstrated ability to work on collaborative projects and apply feedback from various stakeholders.
• A proactive approach to learning unfamiliar systems and the ability to understand complex systems independently.
• Intent to return to the degree program after the internship or co-op.

Preferred qualifications

Candidates may also have:

• Two years of university education or equivalent experience, with in-depth knowledge of specific machine learning domains.
• Published and presented peer-reviewed articles in top-tier venues.
• Experience writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects.
• Familiarity with navigating new codebases and working across different programming languages.
• Strong written communication skills for explaining your work to team members and wider Stripe audiences.

Application requirements

Please submit the following with your application:

• A detailed resume or LinkedIn profile showing your work history.
• Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios.

Join us for a summer internship and help shape the future of global commerce. At Stripe, you will make a tangible impact on the world's economic infrastructure.