Machine Learning Engineer
Jane StreetAbout the Role
Work as a Machine Learning Engineer intern at Jane Street, a leading quantitative trading firm. You'll be paired with experienced full-time mentors to collaborate on real-world ML projects that directly support the business. Gain access to Jane Street's GPU cluster and work with actual financial data, experiencing the practical differences between textbook machine learning and its application to noisy, real-world datasets. Participate in classes and activities shared with other interns while tackling projects ranging from big-picture research questions to building new tools and systems.
Requirements
- An undergraduate or PhD student with practical experience training an ML model, working on an ML library, or optimizing an ML workflow
- A top-notch programmer with a love for technology
- Intellectually curious, collaborative, and eager to learn
- Humble and unafraid to ask questions and admit mistakes
What You'll Get
- Paired with full-time employees who act as mentors
- Classes and activities shared with Software Engineering interns
- Classes and activities focused on machine learning applications and techniques
- Access to a growing GPU cluster containing thousands of H100/H200/B200s