Machine Learning Researcher
Jane Street· Trading, Research, and Machine Learning
Hybrid (New York, NY)$300kfull-timePosted 3mo ago
About the role
Machine Learning researcher to build deep learning models powering Jane Street's trading strategies, collaborating across researchers, engineers, and traders, with responsibilities spanning model training, system architecture, and production deployment.
Responsibilities
- Build the deep learning models that power trading strategies
- Train models for the next generation of deep learning-based trading strategies
- Work with a large computing cluster to train models
- Tune hyperparameters and debug distributed training performance
- Study how models trade in production
- Hire new colleagues, attend conferences, and teach techniques to teammates
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 many ML problem domains
- Fluency with a versatile set of models and tricks
- Hands-on coding skills in Python and your favorite ML framework
- Eagerness to ask questions, admit mistakes, and learn new things
Skills
Required:Practical experience working on empirical ML problemsMathematical reasoningState-of-the-art ML researchPythonML framework proficiency
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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