Research Economist, Economic Research

San Francisco, CA

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

As an Economist at Anthropic, you will work to measure and understand AI's effects on the global economy. You will make fundamental contributions to the development of the Anthropic Economic Index, establishing new methodologies to measure the usage, diffusion, and impact of AI throughout the economy using privacy-preserving tools and novel data sources. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions and product decisions as AI transforms the economy. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (Clio), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Note: We are primarily looking to hire in San Francisco but may consider candidates based in London

Responsibilities

• Make fundamental contributions to the development and expansion of the Anthropic Economic Index, including quarterly reports and industry-specific deep dives
• Design and conduct empirical research on AI's economic effects using novel data sources and privacy-preserving measurement systems
• Develop new methodological approaches for studying AI's impact on:
• Labor markets and the future of work
• Productivity and task transformation
• Economic inequality and displacement
• Industry-specific disruption and adaptation
• Build and maintain relationships with academic institutions, policy think tanks, and other research partners
• Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
• Translate research insights into actionable recommendations for both product decisions and policy discussions
• Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders

You May Be a Good Fit If You Have

• PhD in Economics
• Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning
• Experience relevant to the study of AI’s impact on the economy, including:
• Labor market analysis and occupational change
• Task-based approaches to technological transformation
• Large-scale data analysis and econometric methods
• Large language models for social science research
• Policy-relevant economic research
• Experimental and quasi-experimental methods for causal inference
• Macroeconomic modeling and time series forecasting
• Technical skills including:
• Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
• Experience working with novel datasets and measurement systems
• Comfort learning new technical tools and frameworks
• Demonstrated ability to:
• Lead complex research projects from conception to publication
• Communicate technical findings to diverse audiences
• Build relationships across academic, policy, and industry communities
• Strong interest in ensuring AI development benefits humanity
• Comfort working with AI systems and ability to think critically about their capabilities and limitations

Some Examples of Our Recent Work

• Anthropic Economic Index Report: Economic Primitives
• Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
• Estimating AI productivity gains from Claude conversations
• The Anthropic Economic Index
• Economic Tasks Performed with AI: Evidence from Millions of Claude Conversations
• Clio: Privacy-Preserving Insights into Real-World AI Use

Additional Information

For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. 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 - $405, 000USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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 roleand every candidate.But if we make you an offer,we will make every reasonable effortto get you a visa,and we retain an immigration lawyerto 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 syndromeand doubtingthe strengthoftheircandidacy,sothey urge you notto exclude yourself prematurelyandtosubmit an application if you're interestedinthiswork. We thinkAI systems likethe ones we're building have enormous socialand ethical implications.We think this makes representation even more important,and we striveto includea rangeofdiverse perspectivesonourteam. Your safety matters tous. To protect yourselffrom potential scams:

• Remember that Anthropic recruiters only contact youfrom @anthropic.com email addresses.- In some cases,we may partnerwith vetted recruiting agencies whowill identify themselvesas workingon behalfofAnthropic.- Be cautiousof emailsfrom other domains.- LegitimateAnthropics recruiterswill never ask formoney feesor banking informationbefore your first day.If you're ever unsure abouta communication,dont click any linksvisit anthropic.com/careers directlyfor confirmed position openings.

How we're different We believe thatthe highest-impactAIresearchwill be big science.At Anthropiciwe workas a single cohesive teamon just afew large-scale research efforts.And we value impactadvancing our long-term goals of steerable trustworthyAIrather than workon smallerand morespecific puzzles.We viewAIresearchasan empirical sciencewhich has asmuchin commonwith physicsand biologyaswith traditional effortsin computer science.We're an extremely collaborative group;we host frequentresearch discussionsto ensurethatwe are pursuingthe highest-impact workat any given time.As suchwegreatly value communication skills.The easiest way tounderstandourresearch directionsis to read our recentresearch.This research continues manyofthedirectionsourteam workedon priorto Anthropiciincluding:GPT-3; Circuit-Based Interpretability; Multimodal Neurons; Scaling Laws;AI & Compute; Concrete Problemsin AISafety; Learningfrom Human Preferences.## Come work with us! Anthropicis a public benefit corporation headquarteredin San Francisco.We offer competitive compensation & benefits;optional equity donation matching;generous vacation & parental leave;flexible working hours;lovely office spacein which toc o l l a b o r a t e w i t h colleagues.

Guidance on Candidates' AI Usage:Learn aboutour policyfor usingAIin our application process