Hudson River Trading
AI Researcher, LLMs
$200K–$300K
London, United Kingdom +3 · Full-time · Posted Aug 28, 2026
- Location
- London, United Kingdom
New York, NY, United States
London, United Kingdom
New York, NY, United States - Experience
- Two or more years of hands-on LLM experience at scale.
About the job
Develop and deploy large language models from scratch for research, engineering, and trading workflows, spanning the full model development lifecycle.
What you'll do
- Work across tokenizer training, data curation, pretraining, post-training, evaluation, inference, and live trading.
- Identify promising research directions, design informative ablations, and use evidence to guide decisions.
- Develop and ship code that advances LLM capabilities.
What they ask for
- Two or more years of hands-on experience training, post-training, or evaluating LLMs at scale.
- Direct experience in at least one of: large-scale pretraining, post-training (SFT, RL), LLM evaluation design and statistical analysis, or distributed training/inference systems.
- Ability to identify worthwhile experiments, design decision-changing ablations, and update beliefs based on evidence.
Nice to have
- GPU kernel development, lower-level PyTorch internals, or published work on a frontier-style LLM result.
Pay
200,000 to 300,000 USD per year (base salary)
Tools
LLMs, SFT, RL, PyTorch, GPU
AI focus
Research, train, post-train, evaluate, and serve large language models for firm-wide research, engineering, and trading workflows.
Model-written summary · the original posting is authoritative