Machine Learning Engineer
Jane StreetAbout the Role
Join Jane Street as a Machine Learning Engineer intern and gain real-world experience on ML projects that directly impact the firm's global business. You'll be paired with full-time mentors, collaborate on actual production challenges, and access cutting-edge infrastructure including thousands of H100/H200/B200 GPUs. The program offers a unique rapid-feedback environment where you can learn the practical differences between textbook machine learning and its application to financial data.
- Work on real ML projects mentored by experienced full-time employees
- Access a growing GPU cluster with thousands of high-performance computing resources
- Participate in classes and activities shared with software engineering interns plus ML-specific training
- Gain hands-on experience applying machine learning to noisy financial data
Requirements
- An undergraduate, postgraduate or PhD student with practical experience training an ML model, working on an ML library, or optimising 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
- Fluent in English