Machine Learning Engineer
Jane Street2 months ago
Responsibilities
- Collaborate with full-time employee mentors on real-world machine learning projects.
- Explore open-ended machine learning questions and build new systems or workflows.
- Apply machine learning techniques to noisy financial data.
- Use Jane Street’s GPU cluster for ML experimentation and development.
Requirements
- Be an undergraduate or PhD student with practical experience training an ML model, working on an ML library, or optimizing an ML workflow.
- Be a strong programmer with an interest in technology.
- Demonstrate intellectual curiosity, collaboration, and eagerness to learn.
Benefits
- Mentorship from full-time employees who designed the projects
- Educational programming with classes and activities shared with Software Engineering interns
- Access to a GPU cluster containing thousands of H100, H200, and B200 GPUs
- Internship program with on-site interview components
Categories
About Jane Street
Jane Street is a global quantitative trading firm and liquidity provider that builds in-house software and research platforms to trade across asset classes. It makes markets and executes proprietary strategies on exchanges and electronic venues, serving institutional markets rather than individual investors. Founded in 2000 and headquartered in New York, it is privately held with offices in London, Hong Kong, Singapore, and Amsterdam.