Anthropic
Anthropic Research Resident
$350K–$500K
San Francisco, CA +2 · Remote · Full-time · Posted Oct 28, 2026
- Location
- San Francisco, CA
New York City, NY
Remote-Friendly US (Travel Required) - Experience
- Years required correlate with the internal job level; no specific number is stated.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- 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; the posting also states that sponsorship is not possible for every role and candidate.
About the job
Conduct empirical AI research with Anthropic teams on safety, alignment, security, interpretability, or machine learning systems through a paid, fixed-term residency.
What you'll do
- Work on a scoped research project matched to the resident’s background, with mentorship from Anthropic researchers.
- Collaborate with research teams on empirical questions in AI safety, AI security, or ML systems and reinforcement learning.
- Develop or evaluate methods, safeguards, infrastructure, or model analyses relevant to the selected research area.
What they ask for
- Have led ambitious work in a technical field, such as as a professor in a quantitative discipline, technical founder, or staff-level engineer.
- Be motivated to help make AI safe and beneficial and interested in transitioning to full-time empirical AI research.
- Be able to implement ideas quickly and communicate clearly.
- Hold a bachelor’s degree or an equivalent combination of education, training, and/or experience; field of study must be relevant as demonstrated through coursework, training, or professional experience.
Nice to have
- Experience authoring research papers in machine learning, NLP, or AI safety.
- Experience with LLMs, reinforcement learning, Kubernetes clusters, or complex shared codebases.
Pay
$350,000 to $500,000/year pro-rated for the duration of the residency (base salary); $350,000 — $500,000 USD (base salary)
Tools
Claude, GPU compute, LLMs, reinforcement learning, Kubernetes
AI focus
Empirical AI research focused on safety and alignment, scalable oversight, robustness and control, model organisms, interpretability, safeguards, AI welfare, frontier red-teaming, or ML systems and reinforcement learning.
Model-written summary · the original posting is authoritative