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Jane StreetHong KongInternship
ꓟachine ꓡearning ꓣesearcher
Join Jane Street's Machine Learning Researcher internship in Hong Kong to work on novel ML projects related to systematic trading. Collaborate with experienced researchers, access vast data and computing resources, and develop practical ML models in a dynamic trading environment.
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Role and Responsibilities
- Work closely with full-time ML researchers on selected projects combining novel ML ideas and trading relevance.
- Conduct end-to-end studies on unexplored datasets and experiment with new modeling paradigms.
- Analyze market data, tune hyperparameters, debug training issues, and evaluate model predictions.
- Collaborate with colleagues across different expertise areas to solve complex problems.
- Apply state-of-the-art ML techniques to real-world systematic trading challenges.
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Candidate Profile
- Undergraduate, PhD student, or postdoc with practical ML experience.
- Strong logical and mathematical thinking skills.
- Curious about ML landscape and eager to apply diverse techniques.
- Proficient in Python and ML frameworks for rapid implementation and iteration.
- Open to learning, asking questions, and admitting mistakes.
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Program Details
- Internship location: Hong Kong.
- Access to petabytes of data and large computing clusters including GPUs.
- Exposure to a competitive multi-agent trading environment.
- Flights to and from Hong Kong provided by Jane Street.
- Accommodation provided throughout the program.