Research Economist, Economic Research

🕒 il y a 1 mois

🏄 California – Distant

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💵 $300 000 - $405 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🦅 Parrain de Visa H1B

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👻 Score fantôme 30%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Anthropic

Anthropic

11 - 50 employés

Fondée en 2020

🤖 Intelligence artificielle

☁️ SaaS

🏢 Entreprise

Artificial Intelligence • SaaS • Enterprise

Anthropic est une entreprise de recherche et de sécurité en intelligence artificielle basée à San Francisco. Elle se concentre sur le développement de recherches et la création de systèmes d'IA fiables et bénéfiques. Elle propose des produits tels que le modèle d'IA Claude, conçu pour être sûr et efficace pour les entreprises, ainsi que des outils comme l'API Claude pour aider à améliorer l'efficacité et créer de nouveaux flux de revenus pour les entreprises. Anthropic met un fort accent sur la sécurité de l'IA, alignant son travail sur des principes d'innocuité et de déploiement éthique de l'IA.

Description

• 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

🎯 Exigences

• 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.

🏖️ Avantages

• 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

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