Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
GPU
Kubernetes @ 4
LLM
Machine Learning @ 4
NLP
Reinforcement Learning @ 4
Security
Stress Testing
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is seeking Residents for a paid, fixed-term research program focused on making AI systems safe and beneficial. Placements last six weeks, three months, or six months, with other durations between three and six months possible by exception. Residents transition to full-time empirical AI research and work on a scoped project with direct mentorship from Anthropic researchers.
Responsibilities
- Conduct empirical research in collaboration with Anthropic research teams.
- Work on research questions in AI safety and alignment, AI security and frontier red-teaming, ML systems, or reinforcement learning.
- Implement ideas quickly and communicate clearly in a fast-paced, collaborative environment.
- Potentially work on scalable oversight, adversarial robustness and AI control, model organisms, model internals and interpretability, safeguards research, AI welfare, frontier-model stress testing, model training, model architecture, optimizers, training data, accelerator simulators, hardware backends, or reinforcement-learning environment pipelines.
Requirements
- Led ambitious work in a technical field.
- Suitable backgrounds include professor in a quantitative discipline, technical founder, or staff-level engineer.
- Motivation to make AI safe and beneficial for society.
- Interest in transitioning to full-time empirical AI research.
- Bachelor's degree or equivalent combination of education, training, and experience.
- Relevant field of study demonstrated through coursework, training, or professional experience.
- Machine-learning experience is not required.
Strong candidates may also have:
- Research papers in machine learning, natural language processing, or AI safety.
- Experience with large language models, reinforcement learning, Kubernetes clusters, or complex shared codebases.
Program Details
- Placements last six weeks, three months, or six months.
- Full-time commitment for the duration of the residency.
- Access to Claude models and GPU compute.
- Connection to the broader AI safety and security research community.
- Interview process includes an application, recruiter screen, technical assessment, research discussion, and reference check.
Compensation
£265,000–£375,000 per year, pro-rated for the duration of the residency, plus benefits.
Location and Visa
This application is for a remote UK position, with the option to work from the London office. Anthropic prefers Residents to work from its San Francisco office, where most research staff are based, but remote participation is possible, especially for shorter placements. Remote participants must be based in a country where Anthropic can hire. Anthropic sponsors visas for placements of three months or longer. The company currently expects staff to be in one of its offices at least 25% of the time, although some roles may require more office time.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.