PhD Machine Learning Engineer, Intern

Sanics Edu; New York, Northern (NY, KY); Hybrid; USD 70,000 - 100,000; Full time

Job summary

Stripe is offering PhD machine learning engineering internships for Summer 2026. You will tackle projects at the intersection of finance, technology, and data, focusing on foundation models for tasks like fraud detection and predicting user behavior.

Responsibilities include building and deploying large-scale ML systems, training and launching models, and collaborating across teams while learning rapidly and communicating progress clearly.

Qualifications

• Pursuing PhD with expected graduation in winter 2026 or spring/summer 2027.
• Practical programming experience in ML projects or research.
• Familiar with Python, Scala, Spark, Pandas, NumPy and Scikit-learn.
• Knowledge of supervised/unsupervised learning, ML ops, LLMs or RL beneficial.
• Ability to work on collaborative projects and absorb feedback.
• Self-driven learner capable of understanding complex systems.

Responsibilities

• Develop and deploy large-scale ML systems delivering business value.
• End-to-end design, training, improvement, and launch of models.
• Write production-scale ML models deployed to enable access for diverse businesses.
• Collaborate across teams and incorporate feedback.
• Rapidly learn new technologies and communicate status effectively.

Skills

Python

Scala

Spark

Pandas

NumPy

Scikit-learn

ML concepts

Supervised learning

Unsupervised learning

Education

PhD in Computer Science, ML, or related

Two years of university education or equivalent

Tools

GitHub

Job description

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 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 everyone’s reach 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 excited to offer PhD machine learning engineering internships for the summer of 2026. 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 dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior. As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data. You'll 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 large-scale machine learning systems that drive significant business value across various domains.
• Engage 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 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 2026 or spring/summer 2027.
• Practical experience with programming and machine learning, evidenced by projects, classwork, or research.
• Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn.
• 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.
• Intent to return to the degree-program after the completion of the internship/co-op.

Preferred qualifications

• Two years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning.
• Published and presented peer-reviewed articles in top-tier venues.
• Experience in 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.
• Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences.

Application requirements

• 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 won't just be working on theoretical projects; you'll make a tangible impact on the world's economic infrastructure.