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. Residents will work on empirical research questions in collaboration with Anthropic's research teams.
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.
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.
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