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Hudson River Trading

AI Researcher, LLMs

Hudson River Trading · London, United Kingdom; New York, NY, United States

Posted 19 days ago

or apply directly on Hudson River Trading's site. We never take the application ourselves.

Is this posting real?

This role has been open
19 days
Hudson River Trading's roles stay open a median of 45 days
Reposted
No
Salary listed
No
8% of Hudson River Trading's roles list one
Ghost-job risk at Hudson River Trading
high
58 stale, 0 reposted of 78 open
Hiring momentum
93 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Hudson River Trading's own greenhouse board since 2026-08-03. Full hiring picture for Hudson River Trading.

About this role

As an LLM-focused AI Researcher at Hudson River Trading, you will be part of the HAIL team, responsible for developing and maintaining advanced AI models that support trading operations. Your daily tasks will involve working on the entire model development loop, including tokenizer training, dataset curation, pretraining, post-training, and evaluation design, all while collaborating with a small, independent team in a high-performance computing environment.

Our read on this posting3.2out of 5
benefits
2/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Hudson River Trading as an employer.

What you need

  • 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
  • Strong engineering skills valued: GPU kernel development, lower-level PyTorch internals, or published work on a frontier-style LLM result

What you get

  • Estimated base salary range of 200,000 to 300,000 USD per year (or local equivalent)
  • Discretionary performance-based bonuses
  • Competitive benefits package

Worth weighing

  • High expectations for driving frontier capability gains; not suitable for those who prefer adapting existing solutions
  • Use of AI tools during interviews or assessments is strictly prohibited, which may affect some candidates' preparation strategies

Summarised from Hudson River Trading's posting. Read the full original.

Listed by Hudson River Trading on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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