Machine Learning Researcher
Jane Street2 months ago
Responsibilities
- Build and optimize deep learning models for trading strategies.
- Collaborate with researchers, engineers, and traders on model training and system architecture.
- Dive into market data analysis and hyperparameter tuning.
- Debug distributed training performance issues.
- Hire new team members and share knowledge through teaching and conferences.
Requirements
- Practical experience with empirical machine learning problems.
- Strong logical and mathematical problem-solving skills.
- Intellectual curiosity about state-of-the-art ML research.
- Fluency with a variety of machine learning models and techniques.
- Hands-on coding skills in Python and ML frameworks.
Tech Stack
Categories
Data Science
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.