Anthropic Research Resident (AI)

Location: San Francisco, CA or New York City, NY; residents are preferred in the San Francisco office. Remote participation is possible, especially for shorter placements, from a country where Anthropic can hire. Staff are currently expected to work from an office at least 25% of the time.

Salary: $350,000–$500,000/year, prorated for the residency, plus benefits.

Company

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

What you will do

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

Requirements

• Have led ambitious work in a technical field, such as being a professor in a quantitative discipline, a technical founder, or a staff-level engineer.
• Be motivated to make AI safe and beneficial for society and interested in transitioning to full-time empirical AI research.
• Be able to implement ideas quickly and communicate clearly.
• Thrive in fast-paced, collaborative environments.
• Have a bachelor's degree or an equivalent combination of education, training, and experience.
• Have a relevant field of study demonstrated through coursework, training, or professional experience.
• Minimum years of experience correlate with the internal job-level requirements.

Nice to have

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

Culture & Benefits

• Paid, fixed-term full-time residency lasting six weeks, three months, or six months; other durations between three and six months are possible by exception.
• Access to Claude models, GPU compute, and the broader AI safety and security research community.
• Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office for collaboration.
• 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.

Hiring process

• Complete an application followed by a 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.