Machine Learning Researcher
Jane Street2 months ago
Hong Kong, Hong KongSenior
Responsibilities
- Train deep learning models for trading strategies.
- Develop fundamental ML understanding for new markets and situations.
- Investigate market data, tune hyperparameters, debug distributed training performance, and study model behavior in production.
- Collaborate with researchers, engineers, and traders to architect systems and run trading strategies.
- Hire new colleagues, attend conferences, and teach techniques to teammates.
Requirements
- Practical experience working on empirical machine learning problems.
- Ability to apply logical and mathematical thinking to a wide range of problems.
- Intellectual curiosity and interest in state-of-the-art research across multiple ML domains.
- Fluency with a versatile set of models and techniques.
- Hands-on coding ability in Python and a preferred machine learning framework.
- Fluency in English is required.
Tech Stack
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.