PhD Machine Learning Engineer, Intern
Stripe · San Francisco, New York City, Seattle · 5112 General University · listed October 30, 2026
The shape of it
Seniority
Internship
Where
Not stated
Requirements listed
8
Length
567 words
In the posting’s own words
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.
What it asks for · 8
- 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.
- 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.
Also a plus
- 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.
What the job covers
- 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.
Degree language
- 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.
- Intent to return to the degree-program after the completion of the internship/co-op.
Tools and skills named
Models & research
- Machine learning8×
- LLM
- Reinforcement learning
Data
- NumPy
- Pandas
- Spark
Languages
- Python
- Scala
Frameworks
- Spring
Ways of working
- Testing
Words the posting leans on
- machine learning6×
- experience5×
- projects5×
- languages3×
- models3×
- systems3×
- approach learning2×
- computer science2×
- demonstrated2×
- domains2×
- economic infrastructure2×
- familiarity2×
- feedback2×
- programming2×
- requirements2×
- various2×
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