Hudson River Trading
AI Research Engineer, Inference
$250K–$300K
London, United Kingdom +2 · Full-time · Posted Jun 1, 2026
- Location
- London, United Kingdom
New York, NY, United States
New York, NY, United States - Experience
- Two or more years building deep learning systems; any domain.
About the job
Develop and optimize large-scale inference systems for HRT’s market-focused foundation models, working with researchers to improve models and guide research.
What you'll do
- Improve large-scale model inference, including GPU kernels, inference devices, and data streaming.
- Co-design and improve models in collaboration with researchers.
- Help shape the research agenda and optimize deployed inference systems.
What they ask for
- Strong engineering skills, especially in one or more listed areas: CUDA/Triton/Pallas/CuTe DSL kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, or FPGA/ASIC experience.
- Two or more years of work experience building deep learning systems.
Nice to have
- Experience translating methods between application areas.
- LLM experience.
Pay
250,000 to 300,000 USD per year (base salary)
Tools
CUDA, Triton, Pallas, CuTe DSL, PyTorch, JAX, XLA, CUDA Graphs
AI focus
Develop and optimize inference for foundation models for markets trained on market and alternative data to predict future market state.
Model-written summary · the original posting is authoritative