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Principal Research Scientist (AI)

140 000 - 200 000GBP
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Principal Research Scientist (AI): Developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second with an accent on training, new architectures, RL, reward modeling, and scaling. Focus on evaluation, benchmarks, quality measurement, LLM-as-judge, and failure analysis.

Location: United Kingdom. Candidates must already have the legal right to work in the UK; visa sponsorship is not available. Relocation support and U.S. visa support may be available for a future move to the San Francisco Bay Area, subject to business needs and work authorization requirements.

Base salary: £140,000–£200,000 per year, plus equity and benefits.

Company

hirify.global is a research lab and inference provider building realtime AI models, serving infrastructure, and modular APIs for high-volume consumer applications.

What you will do

  • Research and develop foundation models, new architectures, reinforcement learning, reward modeling, and scaling methods.
  • Build evaluation benchmarks, evaluation loops, quality measurement systems, and failure-analysis approaches.
  • Investigate frontier areas including multimodal models, agents, tool use, test-time compute, and world models.
  • Take ownership of the full research cycle: frame questions, design experiments, write papers, and ship results.
  • Develop research that improves realtime AI products and inference systems serving high-volume workloads.

Requirements

  • Existing legal right to work in the United Kingdom is required.
  • Experience with foundation models, evaluation, frontier AI topics, or equivalent practical work.
  • Evidence of substantial AI work through research, production systems, side projects, competitions, collaborations, or open-source contributions.
  • Ability to work independently on ambiguous problems and turn research findings into shipped systems.
  • PhD in machine learning or NLP, or equivalent practical experience, is useful but not mandatory.

Nice to have

  • Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI.
  • Experience with multimodal models, agents, tool use, test-time compute, or world models.
  • Public non-trivial AI projects, interdisciplinary experiments, or open-source contributions.

Culture & Benefits

  • Flat structure, fast iterations, and minimal process overhead.
  • Research impact is prioritized while support is provided for sharing work that advances the field.
  • Equity and benefits are included in addition to base salary.
  • Work is organized around clarifying ambiguous problems, designing experiments, and delivering visible results.

Hiring process

  • No cover letter is required; applicants are encouraged to provide a link to something they have built.

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