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Jane StreetNew York City, NYInternship
Machine Learning Researcher
Join Jane Street's Machine Learning Researcher internship in New York to work on novel ML projects relevant to systematic trading. Collaborate with experienced researchers, access vast data and computing resources, and gain practical ML experience in a finance context.
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Role and Responsibilities
- Work closely with full-time ML researchers on selected projects.
- Conduct end-to-end studies of unexplored datasets.
- Experiment with new modeling paradigms and blue-sky approaches.
- Dive deep into market data and tune hyperparameters.
- Debug training issues and analyze model predictions.
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About the Team and Environment
- Interdisciplinary team blending research, technology, and trading.
- Access to petabytes of data and extensive computing clusters.
- Work in a competitive multi-agent trading environment.
- Focus on novel ML techniques for large models and nonstationary data.
- Research findings typically not suitable for external publication.
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Candidate Requirements
- Undergraduate, PhD student, or postdoc with ML experience.
- Strong logical and mathematical problem-solving skills.
- Curious about machine learning and state-of-the-art techniques.
- Proficient in Python and ML frameworks for rapid iteration.
- Eager to learn, ask questions, and admit mistakes.