LLM Researcher — Frontier AI for Trading

Trading Interview; New York, Northern (NY, KY); Hybrid; USD 200,000 - 300,000; Full time

Job summary

Hudson River Trading in New York, NY, is seeking an LLM-focused AI Researcher to join HAIL, the HRT AI Labs team. You will contribute to building and refining world-class language models used across trading desks.

You will participate in tokenizer training, dataset curation, pretraining, post-training, evaluation design, inference, and live trading. The role emphasizes frontier capability gains and independent research within a small, focused group.

Qualifications

• Two or more years of hands-on experience training, post-training, or evaluating LLMs at scale.
• Experience with 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.
• Strong engineering skills valued: GPU kernel development, lower-level PyTorch internals, or published work on a frontier-style LLM result.

Responsibilities

• Train tokenizers and curate/mix datasets for LLMs.
• Lead pretraining, post-training, evaluation, and inference for models used in trading.
• Collaborate with teams to accelerate research and trading workflows.

Skills

LLM training

Evaluation design

Statistical analysis

GPU kernel

Tools

PyTorch internals

Distributed training

Job description

Hudson River Trading in New York, NY, is seeking an LLM-focused AI Researcher to join HAIL, the HRT AI Labs team. You will contribute to building and refining world-class language models used across trading desks.

You will participate in tokenizer training, dataset curation, pretraining, post-training, evaluation design, inference, and live trading. The role emphasizes frontier capability gains and independent research within a small, focused group.