Skip to content

Machine Learning Researcher

Jane Street
🇺🇸New YorkJuniorFull-timePosted June 3, 2026

About the Role

Join our growing Machine Learning team to build deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high-end GPUs. You'll work in a collaborative environment where researchers, engineers, and traders sit together and work on training models, architecting systems, and running trading strategies.

Your work will involve diving deep into market data, tuning hyperparameters, debugging distributed training performance, and studying how our models perform in production. You'll apply your in-depth knowledge of machine learning—drawing from LLMs, image models, RL agents, recommendation systems, and classical ML methods—to shape the future of ML at Jane Street. Beyond core research, you'll contribute by hiring colleagues, attending conferences, and teaching techniques to teammates.

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 favorite ML framework
  • An eagerness to ask questions, admit mistakes, and learn new things
  • 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