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Anthropic Research Resident (AI Safety)

265 000 - 375 000GBP
Формат работы
remote (только United_kingdom)/hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Anthropic Research Resident (AI Safety): Conducting empirical research on AI safety, alignment, security, interpretability, machine learning systems, and reinforcement learning with an accent on scalable oversight, adversarial robustness, model internals, and safeguards. Focus on designing safety evaluations, stress-testing frontier models, and building training and research infrastructure for advanced AI systems.

Location: Remote UK position, with the option to work from the London office; remote participants must be based in a country where Anthropic can hire. Anthropic prefers Residents to work from its San Francisco office, where most research staff is based.

Salary: £265,000–£375,000 per year, pro-rated for the residency duration, plus benefits.

Company

Anthropic is a public benefit corporation developing reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.

What you will do

  • Conduct empirical AI research on a concrete, scoped project matched to your background, with mentorship from Anthropic researchers.
  • Research AI safety and alignment, including scalable oversight, adversarial robustness, AI control, model organisms, interpretability, safeguards, and AI welfare.
  • Stress-test frontier models and investigate AI security risks in areas such as cybersecurity, robotics, and cryptography.
  • Improve frontier-model training and develop ML systems infrastructure, including model architectures, optimizers, training data, accelerator simulators, hardware backends, and reinforcement-learning environment pipelines.
  • Collaborate with Anthropic research teams and communicate research ideas clearly.

Requirements

  • Motivation to make AI safe and beneficial for society.
  • Interest in transitioning to full-time empirical AI research.
  • Experience leading ambitious work in a technical field, such as being a professor in a quantitative discipline, a technical founder, or a staff-level engineer.
  • Ability to implement ideas quickly and communicate clearly.
  • Ability to thrive in a fast-paced, collaborative environment.
  • Minimum education: bachelor's degree or an equivalent combination of education, training, and experience.
  • Relevant field of study demonstrated through coursework, training, or professional experience.

Nice to have

  • Research papers in machine learning, NLP, or AI safety.
  • Experience with LLMs, reinforcement learning, Kubernetes clusters, or complex shared codebases.

Culture & Benefits

  • Paid fixed-term residency lasting six weeks, three months, or six months; other durations between three and six months are possible by exception.
  • Full-time commitment for the duration of the residency.
  • Access to Claude models, GPU compute, and the broader AI safety and security research community.
  • Visa sponsorship is available for placements of three months or longer; six-week placements are encouraged to participate remotely from a country where Anthropic can hire.
  • Benefits include competitive compensation, optional equity donation matching, vacation and parental leave, flexible working hours, and office collaboration space.

Hiring process

  • Application, recruiter screen, technical assessment, research discussion, and reference check.
  • Applications for this round close on November 22, 2026, at 11:59 PM PT; offers are expected in January 2027.

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