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Jane StreetLondonInternship
Machine Learning Engineer
Join Jane Street's Machine Learning Engineer internship in London to work on real ML projects with mentorship from full-time engineers. Gain hands-on experience applying ML to financial data and access advanced GPU resources.
1
Role and Responsibilities
- Collaborate with full-time engineers on real-world machine learning projects.
- Work on projects addressing big-picture questions and building new solutions.
- Apply machine learning techniques to noisy financial data.
- Utilize Jane Street's GPU cluster with thousands of H100/H200/B200 GPUs.
- Participate in classes and activities focused on ML applications and techniques.
2
About the Team and Environment
- Machine learning is a critical pillar of Jane Street's global business.
- The trading environment allows quick incorporation of new ML ideas.
- Interns share some classes with Software Engineering interns.
- Mentorship provided by full-time employees who designed the projects.
3
Interview Process
- Initial technical coding interview conducted over Zoom.
- On-site interview with 2-4 technical rounds.
- One interview round dedicated to assessing ML engineering skills.
4
Candidate Requirements
- Undergraduate, postgraduate, or PhD student with practical ML experience.
- Experience training ML models, working on ML libraries, or optimizing ML workflows.
- Strong programming skills and passion for technology.
- Intellectually curious, collaborative, and eager to learn.
- Humble and willing to ask questions and admit mistakes.