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Transformative AI Research Economist, Economic Research

Anthropic
Hybrid - San Francisco, CA, at least 25% in officeUpdated 1d ago
Compensation
$320k–$405k
Published range · Top quartile for Data (61 listings)
Location
Hybrid - San Francisco, CA, at least 25% in office
Remote eligibility
Employment
Full-time
Mid-level
Role family
Data
AI / ML
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About the job

Anthropic is a public benefit corporation headquartered in San Francisco building reliable, interpretable, and steerable AI systems. As a Transformative AI Research Economist on the Economic Research team, you will build macroeconomic models of AI that could be genuinely transformative and develop scenario-based forecasting tools to reason quantitatively about economic trajectories with no historical precedent.

Responsibilities

  • Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution
  • Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories
  • Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation
  • Analyze questions of income distribution and economic governance under transformative-AI scenarios
  • Contribute to AI-powered research tools for economics, Economic Index Reports, and Research Briefs
  • Build and maintain relationships with academic institutions, policy think tanks, and other research partners

Qualifications

  • PhD in Economics, or an exceptional candidate close to completion
  • Background in macroeconomics, growth theory, or public finance, ideally with exposure to task-based frameworks and labor economics
  • Experience in macroeconomic modeling and structural estimation, scenario-based and time-series forecasting, task-based approaches to technological change, computational methods, agent-based modeling, or large-scale simulation
  • Proficiency in Python, Julia, or similar for computational economics; facility with AI coding agents and large language models in the research workflow
  • Ability to lead research projects from conception to publication, ship on tight timelines, and communicate technical findings to diverse audiences

Compensation

Annual salary: $320,000—$405,000 USD.

Application

Deadline to apply: None; applications are reviewed on a rolling basis. Apply via the Greenhouse posting.

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