Machine Learning Researcher
Jane Street· Trading, Research, and Machine Learning
Hybrid (Hong Kong)full-timePosted 3mo ago
About the role
We’re looking for smart and curious individuals to join the Machine Learning team to build deep learning models powering Jane Street's trading strategies, work with a large GPU computing cluster, and collaborate closely with researchers, engineers, and traders.
Responsibilities
- Train models for the next generation of deep learning-based trading strategies.
- Build the fundamental understanding needed to tackle new markets and situations.
- Train models and contribute to model deployment in production.
- Hire new colleagues, attend conferences and teach techniques to teammates.
- Diving into market data, tuning hyperparameters, debugging distributed training performance, and studying model behavior in production.
Qualifications
- Practical experience working on empirical ML problems.
- Ability to apply logical and mathematical thinking to problems.
- Intellectual curiosity and excitement about state-of-the-art research across ML domains.
- Fluency with a versatile set of models and tricks.
- Hands-on coding skills in Python and ML frameworks.
- Eagerness to ask questions, admit mistakes and learn new things.
- Fluency in English.
Skills
Required:Empirical ML problem solvingMathematical reasoningModel fluencyPython
Last updated Oct 25, 2026. Interested? Apply on the company site.
About Jane Street
SIX
Jane Street is a quantitative trading firm and liquidity provider with a unique focus on technology and collaborative problem solving.
Machine learningquantitative tradingtechnologyresearch-drivenglobal marketsinternshipseventsprograms
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