Hudson River Trading (HRT) is seeking to improve its trading models by developing and deploying 'foundation models for markets' that ingest and train on vast amounts of market data to make predictions about future market state
Requirements
- two or more years work experience in deep learning research
- Experience translating methods between areas of application
- LLM experience is valuable, but not necessary
- Strong engineering skills valued, especially any of: GPU kernel development
- lower-level Pytorch/JAX development
- intermediate C++
- FPGA/ASIC experience
Responsibilities
- improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made
Other
- Must have two or more years work experience
- discretionary performance-based bonuses
- competitive benefits package
- degree requirements not specified
- travel requirements not specified
