Machine Learning Researcher

Responsibilities

• Build deep learning models that power trading strategies
• Train models for next-generation deep learning-based trading systems
• Analyze market data, tune hyperparameters, and debug distributed training performance
• Study model behavior and performance in production trading environments
• Hire and mentor colleagues, attend conferences, and teach techniques to teammates

Requirements

• Practical experience working on empirical ML problems
• 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 domains
• Fluency with a versatile set of models and techniques
• Hands-on coding skills in Python and a major ML framework
• Eagerness to ask questions, admit mistakes, and learn new things
• Fluency in English

About the Company

Jane Street is a quantitative trading firm where researchers, engineers, and traders collaborate side by side to solve complex problems and deploy cutting-edge machine learning in financial markets.