Назад
Company hidden
обновлено 1 месяц назад

AI Researcher, LLMs

200 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
AI Researcher, LLMs (LLMs): Building large language models from scratch across tokenizer training, dataset curation, pretraining, post-training, evaluation, inference, and live trading with an accent on frontier capability gains and large-scale model development. Focus on designing decision-changing ablations, analyzing evidence statistically, and shipping distributed training and inference systems.

Location: London, United Kingdom or New York, 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 to algorithmic trading and financial products.

What you will do

  • Develop large language models from scratch for 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 experiments that drive frontier capability gains.
  • Build and ship code for model training, evaluation, and deployment.
  • Collaborate with engineering, hardware, and systems teams using large-scale research clusters.

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 high-impact research directions, design decision-changing ablations, and update conclusions based on evidence.
  • Strong engineering skills in GPU kernel development, lower-level PyTorch internals, or published frontier-style LLM research.

Culture & Benefits

  • Work in a small, focused team with significant research independence and minimal bureaucracy.
  • Access state-of-the-art research clusters with a high GPU-to-researcher ratio.
  • Receive support from experienced engineering, hardware, and systems teams.
  • Join a collaborative culture that values openness, transparency, diverse expertise, and impactful ideas.
  • Competitive benefits package and eligibility for discretionary performance-based bonuses.

Hiring process

  • AI tools are prohibited during interviews or assessments unless explicitly permitted.
  • Candidate responses may be evaluated for authenticity; unauthorized AI assistance can lead to disqualification or offer withdrawal.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →