Research Economist, Economic Research

🕒 Junho 24

🏄 California – Remoto

🏄 California – Remote

💵 $300.000 - $405.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

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Anthropic

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2020

🤖 Inteligência Artificial

☁️ SaaS

🏢 Corporativo

Artificial Intelligence • SaaS • Enterprise

A Anthropic é uma empresa de pesquisa e segurança em IA com sede em São Francisco. Com uma equipe interdisciplinar experiente em aprendizado de máquina, física, políticas e produtos, a empresa é dedicada a gerar pesquisas e criar sistemas de IA confiáveis e benéficos. A Anthropic enfatiza a segurança em IA como prioridade em sua pesquisa e desenvolvimento de produtos, oferecendo modelos de IA inteligentes, como o Claude, para impulsionar a eficiência e a inovação. Eles oferecem serviços empresariais e APIs para capacitar as empresas a utilizar a tecnologia de IA de forma eficaz.

Descrição

• 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 markets and the future of work • Productivity and task transformation • Economic inequality and displacement • Industry-specific disruption and adaptation • Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios • 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

🎯 Requisitos

• 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.

🏖️ Benefícios

• Competitive compensation and benefits • Optional equity donation matching • Generous vacation and parental leave • Flexible working hours • Lovely office space in which to collaborate with colleagues