Machine Learning Researcher
Jane Street· Trading, Research, and Machine Learning
Hybrid (London)full-timePosted 3mo ago
About the role
Machine Learning Researcher to join Jane Street's ML team in London. You will train deep learning models powering trading strategies, work with a large GPU compute cluster, and collaborate closely with researchers, engineers, and traders to develop and productionize ML methods for trading.
Responsibilities
- Train models for the next generation of deep learning–based trading strategies
- Build and understand ML systems and pipelines to support trading
- Work with market data, tune hyperparameters, and debug distributed training performance
- Study how models trade in production and adapt accordingly
- Hire new colleagues, attend conferences, and teach techniques to teammates
- Apply knowledge across LLMs, image models, RL agents, recommendation systems or classical ML methods to shape ML at Jane Street
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 framework
- Eagerness to ask questions, admit mistakes and learn
- Fluency in English
Skills
Required:Practical ML experienceMathematical and logical reasoningState-of-the-art ML knowledgePython and ML framework proficiency
Benefits
- Equal Opportunity Employer
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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