AI Research Scientist - New York- Global Quant Firm

Oxford Knight
New York, United States
$250K a year
Permanent
Full-time

AI Research Scientist - New York Salary : up to $250k + bonus

Summary

Leading HFT fund looking for motivated research scientists with a demonstrated ability to apply machine learning to achieve cutting-edge capabilities inplex and challenging domains.

You will join a growing AI teambining emerging techniques and models with original research to generate signals from unstructured data.

In this role, you'll need to be capable of leading an open-ended research project from concept to production. This will include findingpelling problems well-suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements & constraints, and continuously improving model design, tools, and infrastructure.

Projects may include any area of the quant research process with the potential from business-wide application.

Requirements

  • Minimum 5+ years' demonstrable experience creating ML systems with real metrics & impact in industry and / or academia
  • Strong general ML background with some exposure to language modeling architectures, transformers, SSMs
  • Solid development skills in Python and / or C++
  • Familiarity with ML libraries / frameworks, PyTorch (preferred), TensorFlow, and / or JAX
  • Ability to reason through quantitative problems andmunicate effectively with trading researchers

Desirable

Experience with : HPC and distributed large model training; GPU performance optimization; or end-to-end model development, particularly in LLMs

NB Please don't apply if you're a fresh graduate.

Benefits

  • Enormous opportunity to grow, learn and have an impact
  • Contributions are rewarded; career progression supported
  • Generous benefits package including medical & dental insurance, paid parental leave, and wellness programs

Contact

If this sounds like you, or you'd like to know more, please get in touch.

Andy Stirling-Martin

44 (0)20 3137 9579

linkedin / in / andrew-stirling-martin-7664a946

Job ID QYM4ZJRNlpKo

30+ days ago
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