Machine Learning Researcher
Jane StreetAbout the Role
Join Jane Street's Machine Learning team to build deep learning models that power trading strategies, supported by a rapidly growing computing cluster with tens of thousands of high-end GPUs. You'll work at the intersection of machine learning research and quantitative trading, tackling unusual challenges posed by large models, nonstationary datasets, and competitive multi-agent environments.
In this role, you'll collaborate closely with researchers, engineers, and traders to train models, architect systems, and run trading strategies. Your work will involve diving into market data, tuning hyperparameters, debugging distributed training performance, and studying how models perform in production. You'll apply your in-depth knowledge of the ML landscape—drawing from LLMs, image models, RL agents, recommendation systems, and classical ML methods—to shape the future of ML at Jane Street and tackle new markets and situations. Leadership and mentorship are also part of the role, as you'll help hire colleagues, attend conferences, and teach 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 favourite ML framework
- An eagerness to ask questions, admit mistakes and learn new things
- Fluency in English