Machine Learning Researcher

Responsibilities

• Build deep learning models that power trading strategies
• Train models for next-generation deep learning-based trading strategies
• Develop fundamental understanding to tackle new markets and situations
• Hire new colleagues, attend conferences, and teach techniques to teammates
• Collaborate with researchers, engineers, and traders on model training, system architecture, and trading strategy execution
• Dive into market data, tune hyperparameters, debug distributed training performance, and study model behavior in production

Requirements

• Practical experience working on empirical ML problems
• Ability to apply logical and mathematical thinking to diverse problems
• Intellectual curiosity and excitement about state-of-the-art ML research
• 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 closely to solve complex problems at the intersection of machine learning and finance.