About the job
As a Research Engineer on the Rule of Law team, you'll conduct technical and sociotechnical research at the intersection of AI and democratic institutions. Your work will span safety evaluations, model improvement, institutional analysis, and the development of novel applications of AI to support civic life and efficient and accountable government. The work will directly contribute to our research publications, policy work, safety systems, and products.
Responsibilities
Design and run AI safety evaluations focused on legal alignment, and conduct technical work (including fine-tuning) to improve targeted aspects of model performance
Leverage AI to analyze institutional vulnerabilities created or exacerbated by AI itself, and develop accompanying sociotechnical mitigations
Develop novel applications of AI to bolster and enrich democratic processes
Conduct rigorous sociotechnical studies on how information furnished by AI can support informed deliberation and debate
Partner closely with researchers, policy and law experts, and other cross-functional teams across Anthropic to advance our safety mission
Translate research insights into actionable recommendations for both product and policy
Qualifications
Minimum
Have deep expertise in AI together with substantive expertise in government, law, political science, or public policy
Have advanced skills in deep learning, together with capabilities in data science, mechanism design, govtech, deliberative tech, or a related field
Deeply understand experimental design, data analysis and inferential statistics
Have at least five years of work experience in academia, industry, or government
Are comfortable navigating the ambiguity inherent to novel research, including settings where the objective itself is hard to define
Have strong technical skills in sociotechnical settings: thinking carefully about human factors, how AI systems interact with groups of humans, and human behavior
Are energized by working at the intersection of technical research and questions of democracy and institutional design
Preferred
Designing and running evaluations or fine-tuning experiments on large language models
Large-scale data analysis
UX and interface design, with an eye toward making complex tools intuitive for non-technical users
Engineering with privacy considerations front of mind
Research relating to deliberative technology, civic technology, or the societal impacts of AI
Working with or within government, courts, legislatures, or public policy institutions