Hudson River Trading (HRT) is seeking experienced AI Researchers to accelerate their efforts in building and deploying "foundation models for markets" that ingest and train on vast amounts of market data to make predictions about future market state, aiming to improve every part of their trading models.
Requirements
- Two or more years work experience in deep learning research, for any domain: biology, chemistry, physics, audio, video, etc.
- Experience translating methods between areas of application.
- LLM experience is valuable.
- Strong engineering skills valued.
- GPU kernel development experience.
- Lower-level Pytorch/JAX development experience.
- Intermediate C++ experience.
Responsibilities
- Improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made.
- Developing and maintaining powerful models used by trading teams.
- Building and deploying foundation models for markets.
- Ingesting and training on vast amounts of market data.
- Making predictions about future market state.
- Translating methods between areas of application.
- Researching and developing AI solutions for financial markets.
Other
- 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.
- Supported by excellent engineering, hardware, and systems teams to realize their vision.
- Work will be directly, clearly, highly impactful on the business, and it will be challenging.
- FPGA/ASIC experience.
- HPC experience.
- We are a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond.
- We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike.
