Anthropic Research Resident

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.

What to expect

A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers

Access to Claude models and GPU compute

Connection to the broader AI safety and security research community

Interview process

The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.

Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.

You may be a good fit if you

Are motivated by making sure AI is safe and beneficial for society as a whole

Are excited to transition into working on empirical AI research full-time

Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)

Thrive in fast-paced, collaborative environments

Can implement ideas quickly and communicate clearly

Strong candidates may also

Have experience authoring research papers in machine learning, NLP, or AI safety

Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases

Mentors and research areas

Potential Anthropic mentors include

Sara Price: leads the Alignment Training team; background in data science

Ethan Perez: leads the Alignment Science team; background in machine learning

Evan Hubinger: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)

Samuel Marks: leads the Scalable Oversight team; background in mathematics

Elana…

This is an excerpt. See the full role and apply on job-boards.greenhouse.io.