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Machine Learning Researcher

Jane Street
🇬🇧LondonJuniorFull-timePosted June 4, 2026

About the Role

Join Jane Street's Machine Learning team to build deep learning models that power trading strategies, supported by a computing cluster with tens of thousands of high-end GPUs. You'll work alongside researchers, engineers and traders to train models, architect systems and run trading strategies, diving deep into market data, tuning hyperparameters, debugging distributed training performance and studying how models behave in production.

Apply your in-depth knowledge of the ML landscape across LLMs, image models, RL agents, recommendation systems and classical ML methods to tackle novel challenges in trading. You'll also contribute to hiring new colleagues, attending conferences and teaching techniques to teammates—all core parts of the role.

Requirements

  • Practical experience working on empirical ML problems
  • The ability to apply logical and mathematical thinking to all kinds of 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
  • The hands-on coding skills needed to rapidly implement and iterate on your ideas, in Python and your favourite ML framework
  • An eagerness to ask questions, admit mistakes and learn new things
  • Fluency in English
  • In-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods