Research Engineer - Societal Impacts

Anthropic is seeking a Research Engineer to join their Societal Impacts team, focusing on creating and maintaining critical infrastructure for AI safety research. This role combines technical expertise with societal impact assessment, requiring skills in both engineering and research.

The position offers an opportunity to work at the intersection of AI development and social responsibility, contributing directly to research publications, policy campaigns, and safety systems. The role demands expertise in building scalable infrastructure, running experiments with ML systems, and developing evaluation tools.

As a Research Engineer, you'll be part of a collaborative team working on large-scale research efforts, with a focus on creating steerable and trustworthy AI. The role involves close collaboration with researchers, data scientists, and policy experts, making it ideal for someone who enjoys cross-functional work and has strong communication skills.

The company offers competitive compensation ($315,000-$340,000) and comprehensive benefits, including visa sponsorship and flexible working arrangements. The position is based in San Francisco with a hybrid work model requiring at least 25% office presence.

Key responsibilities include designing scalable infrastructure for AI experiments, building monitoring systems for detecting misuse, and creating tools for analyzing AI system characteristics. The ideal candidate will have experience with Python, distributed systems, and ML model integration, along with the ability to make technical decisions in uncertain environments.

Anthropic values diversity and encourages applications from candidates who might not meet every qualification. The company operates as a public benefit corporation, emphasizing the importance of AI safety and societal benefit in their mission.

This role offers a unique opportunity to contribute to the development of safe and beneficial AI systems while working with a team of committed researchers and engineers. The position combines technical challenges with meaningful impact on the future of AI development and its effects on society.