Machine Learning Researcher
On-siteNew York, United States
New York, United StatesOn-siteFull TimeFinanceLarge
Full TimeLargeFinance
Job Summary
Build deep learning models that power trading strategies, supported by a computing cluster with tens of thousands of high-end GPUs. Dive into market data, tune hyperparameters, debug distributed training performance, and study model behavior in production environments. Apply logical and mathematical thinking to solve empirical ML problems across domains including LLMs, image models, RL agents, and classical methods. Train models for next-generation strategies, build fundamental understanding for new markets, hire new colleagues, attend conferences, and teach techniques to teammates.
Required Qualifications
- Practical experience working on empirical ML problems
- The 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
- The hands-on coding skills needed to rapidly implement and iterate on your ideas, in Python and your favorite ML framework
- An eagerness to ask questions, admit mistakes, and learn new things
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