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4 часа назад

Research Scientist (AI/ML)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
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

Research Scientist (AI/ML): Building a real science of post-training for agents and LLM-based systems with an accent on rigorous experimentation, scaling, and evaluation. Focus on implementing algorithm ideas, designing evaluations that answer real questions, and analyzing complex failure modes.

Location: Onsite in London, UK

Company

hirify.global is a team of scientists, engineers, and machine learning experts working to advance the state of the art in artificial intelligence.

What you will do

  • Propose and test research hypotheses in post-training and RL for agents/LLMs.
  • Implement algorithm ideas and run end-to-end experiments, including setup, execution, analysis, and iteration.
  • Design evaluations and ablations that answer real questions and change minds.
  • Analyze results carefully, including debugging and failure analysis.
  • Communicate clearly through plots, writeups, and paper-ready narratives and figures.
  • Collaborate closely with engineering and research partners to keep the team aligned on findings and strategy.

Requirements

  • Work format: Onsite in London, UK
  • A research track record in ML/RL, demonstrated through publications or high-quality projects.
  • Strong implementation ability and comfort working in research codebases.
  • Evidence of owning experiments end-to-end, including analysis and interpretation.
  • Strong communication skills and a bias toward clarity and honesty regarding results.
  • High agency and drive to push projects forward, prioritize effectively, and take initiative.
  • PhD in ML preferred, or equivalent practical experience.

Nice to have

  • Experience with RL for sequence models, post-training, preference-based learning, or agentic systems.
  • Experience with modern research stacks (e.g., JAX/Flax or PyTorch) and scaling experiments.
  • Strong experimental taste and good judgment regarding baselines, ablations, and what is worth testing.
  • Comfort with scaling, evaluation methodologies, and diagnosing complex failure modes.
  • A focus on craft, caring about doing excellent work while maintaining high velocity.

Culture & Benefits

  • Contribute to a culture of first-principles thinking, high standards, and direct, constructive feedback.
  • Opportunity to advance state-of-the-art AI for widespread public benefit and scientific discovery.
  • Committed to equal employment opportunities regardless of sex, race, religion, or belief.
  • Accommodation provided for disabilities or additional needs.
  • Employment offers are conditional on the results of a background check.

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