Machine Learning Researcher

Jane Street Jane Street · Quant · Hong Kong · Machine Learning

Machine Learning Researcher at Jane Street to build deep learning models for trading strategies, supported by a large GPU cluster. The role involves training models, tuning hyperparameters, debugging distributed training, and researching novel techniques for challenges like large models, nonstationary datasets, and multi-agent environments. Researchers will shape the future of ML at Jane Street, train next-generation models, and contribute to hiring and teaching.

What you'd actually do

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

Skills

Required

  • 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

What the JD emphasized

  • large models
  • nonstationary datasets
  • competitive multi-agent environment
  • novel techniques
  • state-of-the-art research

Other signals

  • build deep learning models
  • train models
  • state-of-the-art research