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:
• <a href="https://www.linkedin.com/in/sara-price-31075
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