Research Engineer, Rule of Law at Anthropic

On-site - San Francisco, CA

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Anthropic is a public benefit corporation headquartered in San Francisco. As a Research Engineer on the Rule of Law team, you will conduct technical and sociotechnical research at the intersection of AI and democratic institutions, focusing on safety evaluations, model improvement, institutional analysis, and developing novel applications of AI to support civic life. Your work will contribute to research publications, policy work, safety systems, and products, and will involve collaborating closely with researchers, policy and law experts, and cross-functional teams.

Requirements

Skills

  • Deep expertise in AI together with substantive expertise in government, law, political science, or public policy
  • 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
  • At least five years of work experience in academia, industry, or government
  • Comfortable navigating the ambiguity inherent to novel research, including settings where the objective itself is hard to define
  • Strong technical skills in sociotechnical settings: thinking carefully about human factors, how AI systems interact with groups of humans, and human behavior
  • Energetic about working at the intersection of technical research and questions of democracy and institutional design
  • 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

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

Technologies

Deep learningLarge language modelsData scienceMechanism designGovTechDeliberative techUX designInterface designPrivacy engineering

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