The opportunity
Please submit the following with your application:
What you'll do
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.
What they're looking for
- 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.
- 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.
