PhD Machine Learning Engineer Intern

Who we are

About Stripe

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. Our mission is to increase the GDP of the internet, and there is a great deal of work ahead. You will have a rare chance to make the global economy accessible to everyone while doing the most important work of your career.

What you'll do

About the internship

Stripe's Applied ML, Data Science, Risk, and Payments organizations are offering PhD machine learning engineering internships for summer 2027. This is a strong chance to contribute to projects that directly improve Stripe's product suite, including foundation models used for dozens of tasks such as fraud detection, enhanced support, and predicting user behavior.

As an intern, you will work on hard problems at the intersection of finance, technology, and data. You may also work on 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 create significant business value across domains.
• Take part in the full process of designing, training, improving, and launching machine learning models.
• Write production-scale ML models that will be deployed to help Stripe provide economic infrastructure access to a wide range of businesses worldwide.
• Work across teams, act on 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.

Who you are

Minimum requirements

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

Preferred qualifications

You might 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 managing work across different programming languages.
• Strong written communication skills to clearly explain 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, Stack Overflow contributions, or other project portfolios.

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