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About the Role
Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You'll be paired with full-time employees who act as mentors, collaborating with you on real-world ML projects we actually need done. Machine learning is a critical pillar of Jane Street's global business. Our ever-changing trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. During the program, you’ll work on projects mentored closely by the full-time employees who designed them. You will get access to our growing GPU cluster containing thousands of H100/H200/B200s and gain an understanding of the differences between textbook machine learning and its application to noisy financial data.
Responsibilities
- Collaborate with full-time employees on real-world ML projects.
- Work on projects mentored by full-time employees.
- Build new ML applications or consider big-picture questions.
Requirements
- Undergraduate or PhD student with practical experience training an ML model, working on an ML library, or optimizing an ML workflow.
- Top-notch programmer with a love for technology.
- Intellectually curious, collaborative, and eager to learn.
- Humble and unafraid to ask questions and admit mistakes.
Skills
- Machine Learning
- Programming
Experience Level
- Internship
Education Level
- Undergraduate student
- PhD student
Benefits
- Mentorship from full-time employees
- Shared classes and activities with Software Engineering interns
- Access to a growing GPU cluster containing thousands of H100/H200/B200s
About the Company
- Jane Street's global business relies on machine learning.
- The company's trading environment is a unique, rapid-feedback platform for ML experimentation.
- The company is interested in how candidates think and learn, rather than their current knowledge of finance.