Jane Street
Machine Learning Researcher
New York, New York, United States · Full-time · Posted Jun 3, 2026
About the job
Build and research deep learning models and systems that power Jane Street’s trading strategies, working with researchers, engineers, and traders.
What you'll do
- Train models for deep learning-based trading strategies and develop understanding to address new markets and situations.
- Explore ML techniques, analyze market data, tune models, and debug distributed training performance.
- Hire colleagues, attend conferences, and teach techniques to teammates.
What they ask for
- Practical experience working on empirical ML problems.
- Strong logical and mathematical problem-solving ability.
- Hands-on coding skills to rapidly implement and iterate in Python and an ML framework.
- Fluency with a versatile set of models and techniques.
Nice to have
- Intellectual curiosity about state-of-the-art research across ML domains.
- Experience with approaches such as LLMs, image models, RL agents, recommendation systems, or classical ML methods.
Tools
Python, LLMs, image models, RL agents, recommendation systems, classical ML
AI focus
Research and train deep learning models for trading strategies, addressing large models, nonstationary datasets, and competitive multi-agent environments.
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