Hudson River Trading-posted 6 months ago
$200,000 - $300,000/Yr
Full-time • Mid Level
Seattle, WA

Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying 'foundation models for markets', that ingest and train on vast amounts of market data, to make predictions about future market state. We are seeking experienced AI researchers to join our team to accelerate our efforts. Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made.

  • Develop and maintain powerful AI models for trading.
  • Ingest and train on vast amounts of market data.
  • Make predictions about future market states.
  • Improve model components including data featurization, architecture design, training dynamics, and trading decision processes.
  • Two or more years of work experience in deep learning research.
  • Experience in any domain such as biology, chemistry, physics, audio, or video.
  • Strong engineering skills, especially in GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, or HPC experience.
  • Experience translating methods between areas of application.
  • Experience with large language models (LLMs).
  • Estimated base salary range of $200,000 - $300,000 per year.
  • Discretionary performance-based bonuses.
  • Competitive benefits package.
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