NewPosted August 28, 2026
AI Researcher, LLMs
Hudson River TradingCategory:Quantitative Research
- Seniority
- Medior
- Employment type
- Full-time
- Work arrangement
- On-site
- Salary (per year)
- $200k–$300k
- Bonus
- Yes
Requirements
- Two or more years of hands-on experience training, post-training, or evaluating LLMs at scale
- Direct experience with at least one of: large-scale pretraining, post-training (SFT, RL), LLM evaluation design and statistical analysis, or distributed training/inference systems
- Research taste: ability to identify what's worth trying next, design ablations that change decisions, and update beliefs from evidence
About the role
Hudson River Trading (HRT) is seeking an LLM-focused AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful AI models, which are used by our trading teams to drive a significant fraction of our trading. The LLM team within HAIL builds large language models from scratch — pretraining, post-training, and serving — that are deployed across the firm to accelerate research, engineering, and trading workflows. Our goal is to produce LLMs that are genuinely best-in-world for the use cases we care about.
Responsibilities
- Work on every stage of the model development loop: tokenizer training, dataset curation and mixing, pretraining, post-training, evaluation design, inference, and live trading
- Drive frontier capability gains and ship the code that gets us there
- Pursue the directions they think would be most impactful as part of a small, focused team
- Build large language models from scratch — pretraining, post-training, and serving — deployed across the firm
What you'll get
- $200k–$300k base salary
- discretionary performance-based bonuses
- a competitive benefits package
Skills
LLM training · post-training · LLM evaluation · large-scale pretraining · SFT · RL · distributed training · distributed inference · GPU kernel development · PyTorch internals