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Research Economist, Economic Research

Anthropic Munich·$320,000 – $405,000

Primary stack

Machine LearningPythonRSQL

Job description

About the Position

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 rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.

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.


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, drawing on external data sources and the privacy-preserving measurement systems internally
  • Develop new methodological approaches for studying AI's impact on:
    • 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
    • Agent-based modeling or large-scale simulation
  • Develop causal-inference tooling - e.g. surrogate indexes, heterogeneous-effect pipelines - to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions
  • 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

Requirements

  • 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
    • Agent-based modeling or large-scale simulation
  • 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

We Offer

  • Competitive salary range: $320,000 - $405,000 USD annually
  • Hybrid work 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.
  • Additional benefits: Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Application Details

Please provide a writing sample, preferably a job-market paper or other article that showcases your research and technical expertise.

Deadline to apply: None. Applications are reviewed on a rolling basis


How We're Different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.


Come Work with Us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.


Why Anthropic?

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. 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.


Application Instructions

To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.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.


Agreement to Arbitrate

I understand and agree that both Anthropic and I waive our respective rights to trial by jury in connection with any claims covered by this agreement to arbitrate. Instead, any disputes arising out of or related to my application for employment with Anthropic shall be settled by final and binding arbitration pursuant to the Federal Arbitration Act. I understand and agree that Anthropic’s employees/agents, Anthropic’s clients, and their employees/agents are third-party beneficiaries to this agreement.

The arbitration shall be conducted in accordance with the Employment Arbitration Rules & Procedures of Judicial Arbitration and Mediation Services, Inc. (“JAMS Rules”), available via the internet at https://www.jamsadr.com/rules-employment-arbitration or by searching for “JAMS Employment Arbitration Rules” in an online search service such as www.google.com*. To the extent the JAMS Rules are inconsistent with the terms of this Agreement, this Agreement shall govern to the extent permitted by law. The parties will select one neutral arbitrator, who will have the authority to award all relief in law or equity that is requested by the parties and supported by credible, relevant, and admissible evidence. The arbitrator shall allow adequate discovery and issue a written, signed, and reasoned award. Judgement may be entered on the arbitrator’s award in any court having jurisdiction, and the award shall be subject to correction, confirmation, or vacation as provided by the applicable law concerning judicial review of arbitration awards. Anthropic will bear the costs that are particular to the arbitration, such as the arbitrator fees. The arbitrator will apply the substantive law of the state in which I sought employment with Anthropic. The arbitrator will determine the arbitration venue, based on fairness and convenience to the parties and witnesses, unless otherwise mutually agreed upon by the parties. The Party initiating a claim under this Agreement must make a written demand for arbitration to the other Party. The demand for arbitration shall identify the claims asserted, the facts upon which such claims are based, and any relief or remedy sought. Written demand for arbitration to Anthropic must be sent to Anthropic PBC at* [email protected]*. Anthropic’s demand for arbitration shall be sent to the most recent mailing address and/or email address that Anthropic has on file for you.*

This agreement to arbitrate does not apply to claims for workers’ compensation, unemployment compensation benefits, claims or charges before any administrative agency having jurisdiction over such claims, or any other claim that is not subject to arbitration under federal law. If any claims are deemed non-arbitrable, then those claims will be stayed until resolution of any arbitrable claims.

I understand and agree that, except where prohibited by federal law, all claims subject to this agreement to arbitrate must be pursued on an individual basis, and that both I and Anthropic waive any right to bring or be a party to any class or collective action. I agree that any issues pertaining to the enforceability, application or validity of this agreement to arbitrate shall be decided only by a court of competent jurisdiction and not by an arbitrator. This agreement to arbitrate applies only in the United States.


Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you provide will be recorded and maintained in a confidential file.

As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

© Anthropic Munich. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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