PhD Machine Learning Engineer Intern

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companiesfrom the worlds largest enterprises to the most ambitious startupsuse Stripe to accept payments grow their revenue and accelerate new business opportunities. Our mission is to increase the GDP of the internet and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyones reach while doing the most important work of your career.

What youll do

About the internship

Stripes Applied ML organization is excited to offer PhD machine learning engineering internships for the summer of 2025. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripes suite of products focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection enhanced support and predicting user behavior.

As an intern youll tackle challenging problems at the intersection of finance technology and data. Youll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model which leverage machine learning to revolutionize how businesses interact with financial services and data.

Responsibilities

• Develop and deploy largescale machine learning systems that drive significant business value across various domains.
• Engage in the endtoend process of designing training improving and launching machine learning models.
• Write productionscale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.
• Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.
• Rapidly learn new technologies and approaches demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.

Who you are

Minimum requirements

• A deep understanding of computer science obtained through the pursuit of a PhD in Computer Science Machine Learning or a closely related field with the expectation of graduating in winter 2025 or spring/summer 2026.
• Practical experience with programming and machine learning evidenced by projects classwork or research. Familiarity with languages such asPython Scala Spark and libraries such as Pandas NumPy and Scikitlearn.
• Expertise in areas of machine learning such as supervised and unsupervised learning techniques ML operations and possibly experience in Large Language Models or Reinforcement Learning.
• Demonstrated ability to work on collaborative projects with experience in receiving and applying feedback from various stakeholders.
• A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently.

Preferred qualifications

You Might Also Have:

• Two years of university education or equivalent experience with indepth knowledge in specific domains of machine learning.
• Experience in writing highquality pull requests maintaining good test coverage and completing projects with minimal defects.
• Familiarity with navigating new codebases and managing work across different programming languages.
• Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences.

Application requirements

Please submit the following with your application:

• A detailed resume or LinkedIn profile showcasing 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 an unforgettable summer internship and help shape the future of global commerce. At Stripe you wont just be working on theoretical projects; youll make a tangible impact on the worlds economic infrastructure.

Required Experience:

Intern