Machine Learning Researcher

About this role

Join Jane Street's Machine Learning team to develop deep learning models powering trading strategies using state-of-the-art techniques and massive GPU infrastructure. Work collaboratively with researchers, engineers, and traders to solve novel ML challenges in a competitive, multi-agent trading environment while advancing cutting-edge research.

What you'll do

• Build and train deep learning models for next-generation trading strategies
• Debug and optimize distributed training performance across large GPU clusters
• Analyze market data and study model behavior in production trading scenarios
• Mentor new team members and share ML techniques across the organization
• Conduct research on novel ML approaches tailored to trading challenges
• Attend conferences and stay current with state-of-the-art ML research

What they're looking for

• Deep learning model development and training
• Python and ML frameworks (TensorFlow, PyTorch, etc.)
• Empirical machine learning problem-solving
• Mathematical and logical reasoning
• Distributed systems and GPU optimization
• Knowledge of LLMs, computer vision, reinforcement learning, and classical ML
• Rapid prototyping and iterative development
• Data analysis and model debugging

Benefits

• Access to tens of thousands of high-end GPUs for research
• Close collaboration with traders and engineers
• Exposure to novel ML challenges in finance
• Opportunities to shape ML strategy and direction
• Conference attendance and research publication support
• No finance background required