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About the Role
Join our growing team to drive ML work by building deep learning models that power trading strategies, supported by a large GPU computing cluster. You will tackle challenges like large models, nonstationary datasets, and competitive multi-agent environments, requiring novel techniques. Collaborate with researchers, engineers, and traders to train models, architect systems, and run trading strategies. Your expertise will shape the future of ML at Jane Street, training models for next-generation strategies and building fundamental understanding for new markets. Responsibilities include hiring, attending conferences, and teaching techniques.
Responsibilities
- Build deep learning models that power trading strategies
- Train models for the next generation of deep learning-based trading strategies
- Build fundamental understanding to tackle new markets and situations
- Hire new colleagues
- Attend conferences
- 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 problem domains
- Fluency with a versatile set of models and tricks
- Hands-on coding skills needed to rapidly implement and iterate on ideas in Python and your favorite ML framework
- Eagerness to ask questions, admit mistakes and learn new things
- Fluency in English
Skills
- Deep learning
- Machine learning
- LLMs
- Image models
- RL agents
- Recommendation systems
- Classical ML methods
- Python
- ML framework
About the Company
- Jane Street is a trading firm that operates globally.