Research Engineer / Scientist, Societal Impacts

• Design and implement scalable technical infrastructure that enables researchers to efficiently run experiments and evaluate AI systems.
• Architect systems that can handle uncertain and changing requirements while maintaining high standards of reliability
• Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions
• Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission
• Interface with and improve our internal technical infrastructure and tools
• Generate net-new insights about the potential societal impact of systems being developed by Anthropic
• Ship changes that help improve our models and products based on the empirical research the Societal Impacts team is conducting 

• Experience working ambiguous AI research projects
• Experience building and maintaining production-grade internal tools or research infrastructure
• Take pride in writing clean, well-documented code in Python that others can build upon
• Comfortable making technical decisions with incomplete information while maintaining high engineering standards
• Comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization
• Track record of using technical infrastructure to interface effectively with machine learning models
• Have experience deriving insights from imperfect data streams
• Experience building systems and products on top of LLMs

• Experience maintaining large, foundational infrastructure
• Experience incubating and maturing tooling platforms used by a wide variety of stakeholders
• Experience building simple interfaces that allow non-technical collaborators to evaluate AI systems
• Experience working with and prioritizing requests from a wide variety of stakeholders, including research and product teams
• Experience with distributed systems and designing for scale and reliability
• Experience scaling and optimizing the performance of tools
• Experience with product management and/or full-stack product engineering, with a track record of zero-to-one work in startup (or startup-like environments) and owning products end-to-end
• Research relating to the societal impacts of technology

• Design, implement, and mature scalable infrastructure for running large-scale experiments on how people interact with our AI systems (like Clio, Anthropic Interviewer, the Economic Index, Values in the Wild, and Emotional Impacts). 
• Build robust monitoring systems that help us detect and understand potential misuse or unexpected behaviors
• Create internal tools that help researchers, policy experts, and product teams quickly analyze dynamically changing AI system characteristics

$350,000 - $500,000 USD