Research Engineer, Rule of Law

Anthropic$320K — $485K *
Education, Government & Non-Profit
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Deep expertise in AI with knowledge in government, law, political science, or public policy
  • Advanced deep learning skills and familiarity with data science or related fields
  • Strong background in experimental design and inferential statistics
  • Minimum five years of relevant professional experience
  • Ability to navigate ambiguous research environments
  • Technical skills in sociotechnical settings, including human-AI interaction
  • Enthusiasm for the intersection of technical research and democratic institutional design

Responsibilities

  • Design and implement AI safety evaluations focused on legal alignment
  • Analyze institutional vulnerabilities related to AI and propose sociotechnical solutions
  • Develop innovative AI applications to enhance democratic processes
  • Conduct sociotechnical research on AI's role in supporting informed public discourse
  • Collaborate with cross-functional teams to further organizational safety objectives
  • Translate research findings into actionable insights for product and policy

Benefits

  • Visa sponsorship available
  • Flexible hybrid working model with 25% office attendance expected
  • Commitment to diversity and representation on the team
  • Emphasis on ethical implications of AI development
  • Supportive environment encouraging diverse applications from candidates
Full Job Description
About the Role

Increasingly powerful AI systems will challenge societal functions at all levels. Anthropic has done pioneering work examining the economic impacts of AI; the Rule of Law Team takes an analogous approach to a different question: how will AI impact our constitutional democratic institutions? We ask how AI might put pressure on democracy and the rule of law, and we seek out ways of protecting democratic freedoms, both in the short and long term, and through strategies aimed at technology as well as policy.

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.

Although our work will evolve over time, it currently spans three broad areas:
  • Assuring that our AI agents rigorously obey the law: evaluations and fine-tuning to assess and improve how models process legal constraints, including alignment work in settings where defining the optimization objective is hard and novel techniques may needed.
  • Helping to ensure that AI reinforces the foundations of constitutional democracy: understanding how AI will impact the structure of government itself, and doing what we can to uphold popular sovereignty, ethical and accountable government, and the rule of law, including through the collaborative development of new applications of AI itself.
  • Enriching and expanding civic participation: using AI to support democratic deliberation, improve the interface between citizens and government services, and help citizens deliberate with one another in an informed and constructive way around policy issues.
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
You may be a good fit if you:
  • 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
Strong candidates may also have experience with:
  • 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
Representative Projects:
  • AI safety evaluations focusing on legal alignment, with technical work to improve targeted aspects of model performance
  • Analysis of institutional vulnerabilities, with accompanying work toward technical mitigations
  • Development of novel applications for AI to bolster and enrich democratic processes
  • Sociotechnical work focused on how information furnished by AI can support informed deliberation and debate


The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$320,000-$485,000 USD

Logistics

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from [redacted].com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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