Anthropic
Anthropic Research Resident
London, UK. Posted 16 days ago
The role
Residents will work on empirical research questions in collaboration with Anthropic research teams. This includes work in AI safety, alignment, security, and ML systems.
What you will do
- Work on empirical research questions in collaboration with Anthropic's research teams
- Complete a concrete, scoped project with direct mentorship from Anthropic researchers
- Implement ideas quickly and communicate clearly
Required qualifications
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
- A field relevant to the role as demonstrated through coursework, training, or professional experience
- Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
- Can implement ideas quickly and communicate clearly
- Thrive in fast-paced, collaborative environments
- Motivated by making sure AI is safe and beneficial for society as a whole
- Excited to transition into working on empirical AI research full-time
Nice to have
- Experience authoring research papers in machine learning, NLP, or AI safety
- Experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Benefits
- Access to Claude models and GPU compute
- Connection to the broader AI safety and security research community
- Competitive compensation
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space
Before you apply
- The interview process includes an initial application, recruiter screen, technical assessment, research discussion and a reference check
- Remote participants need to be based in a country where Anthropic can hire
- We sponsor visas for placements of three months or longer
About the company
Anthropic is a public benefit corporation headquartered in San Francisco. Their mission is to create reliable, interpretable, and steerable AI systems.