Research Engineer, Economic Research

Job Overview

As a Research Engineer on the Economic Research team at Anthropic, you will design, build, and maintain critical infrastructure that powers Anthropic's research on AI's economic impact.

Responsibilities:

• Build and maintain data pipelines that process large-scale Claude usage logs into canonical, reusable datasets while maintaining user privacy.
• Expand privacy-preserving tools to enable new analytic functionality to support research needs.
• Design and implement novel data systems leveraging language models where traditional software engineering patterns don't yet exist.
• Develop and maintain data pipelines that are interoperable across data sources and are designed to support economic analysis.
• Contribute to the strategic development of the economic research data foundations roadmap.
• Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure.
• Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions.
• Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards.
• Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic's safety mission.

Requirements:

• Experience working with Research Scientists and Economists on ambiguous AI and economic projects.
• Experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments.
• Experience with cloud infrastructure platforms such as AWS or GCP.
• Proficiency in writing clean, well-documented code in Python.
• Ability to make technical decisions with incomplete information while maintaining high engineering standards.
• Comfortable getting up-to-speed quickly on unfamiliar codebases and working well with other engineers.
• Experience deriving insights from imperfect data streams.
• Experience building systems and products on top of LLMs.
• Passion for Anthropic's mission of building helpful, honest, and harmless AI and understanding its economic implications.
• Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners.

Nice to Have:

• Background in econometrics, statistics, or quantitative social science research.
• Experience building data infrastructure and data foundations for research.
• Familiarity with large language models, AI systems, or ML research workflows.
• Prior work on projects related to labor economics, technology adoption, or economic measurement.

Compensation:

• Annual Salary: $300,000-$405,000 USD