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

What You'll Be Doing

• Building deep learning models for trading strategies
• Collaborating with researchers, engineers, and traders
• Training models, architecting systems, and running trading strategies
• Tuning hyperparameters and debugging distributed training performance
• Training models for deep learning-based trading strategies
• Attending conferences and teaching techniques to teammates
• Hiring new colleagues

Perks and Benefits

• Opportunity to work in a collaborative environment
• Access to rapidly growing computing cluster with high-end GPUs
• Engage with challenging problems in a competitive multi-agent environment
• Shape the future of ML at Jane Street