Contribute to machine learning projects at Stripe as a PhD intern, focusing on finance and technology.
Posted by employer 5 days ago
First seen on Joblaze 4 days ago
Last verified on the company career page 1 day ago
What you'll build
- Develop and deploy large-scale machine learning systems
- Engage in the end-to-end process of designing and launching ML models
- Write production-scale ML models
- Collaborate across teams to incorporate feedback
- Rapidly learn new technologies and approaches
Must have
- Deep understanding of computer science through PhD
- Practical experience with programming and machine learning
- Familiarity with Python, Scala, Spark
- Expertise in supervised and unsupervised learning techniques
- Demonstrated ability to work on collaborative projects
- Intent to return to degree-program after internship
Nice to have
- Two years of university education or equivalent experience
- Published and presented peer-reviewed articles
- Experience in writing high-quality pull requests
- Familiarity with navigating new codebases
- Excellent written communication skills
AI in the day-to-day
Work on projects leveraging machine learning to enhance financial services and data interactions.
Requirements
- Education
- PhD
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
In this internship, the PhD Machine Learning Engineer will focus on developing and deploying large-scale machine learning systems that enhance Stripe's financial products, tackling challenges in areas like fraud detection and user behavior prediction. Key skills include proficiency in programming languages such as Python and Scala, along with a solid understanding of machine learning techniques and operations. This role is ideal for PhD candidates nearing graduation who have practical experience in machine learning and a collaborative mindset. The position offers a chance to work on impactful projects within a leading financial infrastructure company.
Joblaze insights
- Listed 4 days ago — first seen on Joblaze November 1, 2026. Last confirmed on Stripe's careers page November 4, 2026.
- This exact title is also open at 1 other location at Stripe: San Francisco, New York City, Seattle.
Quick facts
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Numpy, Python, Scala, Spark, pandas, scikit-learn.
- What seniority level is this role?
- Stripe targets intern candidates for this position.
- Is this full-time or contract?
- Internship for this PhD Machine Learning Engineer, Intern role at Stripe.
From the original posting
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 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 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 2027 or spring/summer 2028.
- 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
You Might Also Have:
- 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
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 won't just be working on theoretical projects; you'll make a tangible impact on the world's economic infrastructure.