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About the Role

We are seeking intelligent and inquisitive individuals to join our expanding team and advance our machine learning initiatives. You will develop deep learning models for our trading strategies, leveraging a substantial GPU computing cluster. The role involves addressing unique trading challenges such as large models, non-stationary datasets, and competitive multi-agent environments, necessitating the exploration of innovative techniques. Collaboration is key, with researchers, engineers, and traders working closely to train models, design systems, and execute trading strategies. Your expertise in machine learning, including LLMs, image models, RL agents, recommendation systems, and classical ML methods, will be crucial in shaping the future of ML at Jane Street. You will train models for next-generation deep learning trading strategies and develop the foundational knowledge required for new markets and situations. Additionally, you will be involved in hiring, attending conferences, and mentoring teammates.

Responsibilities

Build deep learning models that power trading strategies.
Train models for next-generation 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 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 for rapid implementation and iteration.
Eagerness to ask questions, admit mistakes, and learn new things.
Fluency in English.

Skills

Machine learning
Deep learning
LLMs
Image models
RL agents
Recommendation systems
Classical ML methods
Python
ML frameworks

About the Company

Researchers, engineers and traders sit a few feet away from each other and work together to train models, architect systems and run trading strategies.
If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here.
If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in.