Anthropic Research Resident (AI Safety)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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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