Machine Learning Researcher

Jane Street Jane Street · Quant · New York, NY · Machine Learning

Research role focused on building deep learning models for trading strategies, leveraging a large GPU cluster. The role involves training models, architecting systems, and understanding market data in a competitive multi-agent environment, pushing for novel techniques across various ML domains like LLMs, image models, RL agents, and recommendation systems.

What you'd actually do

  1. drive our ML work
  2. build the deep learning models that power our trading strategies
  3. train models for the next generation of our deep learning-based trading strategies
  4. build the fundamental understanding we need to tackle new markets and situations
  5. hiring new colleagues, attending conferences, and teaching techniques to teammates

Skills

Required

  • Practical experience working on empirical ML problems
  • An 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

What the JD emphasized

  • competitive multi-agent environment
  • large models
  • nonstationary datasets
  • novel techniques

Other signals

  • multi-agent environment
  • large models
  • nonstationary datasets
  • novel techniques
  • deep learning-based trading strategies