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6 часов назад

AI Researcher, LLMs

200 000 - 300 000$
Тип работы
fulltime
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Researcher, LLMs (LLM Research and Algorithmic Trading): Building large language models from scratch for research, engineering, and trading workflows with an accent on pretraining, post-training, evaluation, inference, and live trading. Focus on designing frontier capability experiments, analyzing ablations and evidence, and shipping distributed training and inference systems.

Location: London, United Kingdom, or New York, NY, United States

Salary: $200,000–$300,000 base per year, plus discretionary performance-based bonuses and benefits

Company

hirify.global applies scientific research and sophisticated computing infrastructure to algorithmic trading.

What you will do

  • Develop and maintain large language models used across research, engineering, and trading workflows.
  • Work across tokenizer training, dataset curation and mixing, pretraining, post-training, evaluation, inference, and live trading.
  • Design research directions, ablations, and evaluations that produce frontier capability gains.
  • Analyze evidence and statistical results to guide model development decisions.
  • Ship production code with support from engineering, hardware, and systems teams.

Requirements

  • At least two years of hands-on experience training, post-training, or evaluating LLMs at scale.
  • Direct experience with large-scale pretraining, post-training such as SFT or RL, LLM evaluation design and statistical analysis, or distributed training and inference systems.
  • Ability to identify valuable research directions, design decision-changing ablations, and update conclusions based on evidence.
  • Strong engineering skills in areas such as GPU kernel development, lower-level PyTorch internals, or published frontier-style LLM research.

Culture & Benefits

  • Work in a small, focused team with substantial independence and minimal bureaucracy.
  • Access state-of-the-art research clusters with a high GPU-to-researcher ratio.
  • Collaborate with experienced engineering, hardware, and systems teams.
  • Receive a competitive benefits package and eligibility for discretionary performance-based bonuses.
  • Join an open, transparent, and diverse environment focused on cutting-edge automation and algorithmic trading.

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