Anthropic is seeking a Research Engineer to join their Societal Impacts team in San Francisco. This role combines technical infrastructure development with critical research into AI's societal impact. The position involves designing and implementing scalable systems that enable researchers to evaluate AI systems effectively while maintaining high engineering standards.
The ideal candidate will work at the intersection of technical implementation and social impact research, building tools that help understand how AI systems affect people and society. They'll need to balance practical engineering challenges with the broader mission of ensuring AI development remains safe and beneficial. The role requires strong Python programming skills, experience with distributed systems, and the ability to work effectively with machine learning models.
Working in Anthropic's collaborative environment, you'll interact with researchers, policy experts, and other cross-functional teams to advance the company's safety mission. The position offers competitive compensation ($315,000-$425,000), comprehensive benefits, and the opportunity to work on meaningful problems in AI safety. The role requires 25% in-office presence in San Francisco, with visa sponsorship available for qualified candidates.
This is an opportunity to contribute to cutting-edge AI research while building infrastructure that helps ensure AI systems are developed responsibly. You'll be part of a team that values empirical science, collaboration, and direct impact on making AI systems more reliable and beneficial for society.