Research Engineer, Economic Research Data Platform

Details

Design, build, and maintain critical infrastructure supporting Anthropic's research into the economic impact of AI. The role involves working with data systems across Anthropic, including privacy-preserving research tools, and collaborating with Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy teams.

Responsibilities

• Build and operate data pipelines that transform raw usage data into clean, reusable, privacy-preserving datasets.
• Design new systems for understanding Claude usage and its economic impact, including classifiers, probes trained on model internals, and supporting machine learning pipelines.
• Build self-service workflows to ingest and integrate external data sources with internal datasets.
• Develop APIs, libraries, and interfaces that serve data to researchers and the public.
• Collaborate with researchers, data scientists, policy experts, economists, and other cross-functional partners.
• Contribute to the team roadmap, documentation, and engineering practices supporting self-service data access while maintaining safety and governance standards.
• Ensure data reliability, integrity, and privacy compliance across economic research data infrastructure.

Requirements

• Significant experience building data-intensive applications, pipelines, or internal tooling in production.
• Experience with cloud infrastructure platforms such as AWS or GCP.
• Strong Python programming skills and a commitment to writing clean, well-documented code.
• Intuition for analytics workflows and empathy for researchers and data scientists.
• Ability to make technical decisions with incomplete information while maintaining high engineering standards.
• A full-stack mindset and willingness to solve problems end-to-end.
• Strong communication skills for collaborating with partners with varying levels of technical expertise.
• Interest in the societal impacts of AI and its economic implications.
• Bachelor's degree or an equivalent combination of education, training, and experience. The field of study must be relevant to the role as demonstrated through coursework, training, or professional experience.

Bonus Qualifications

• Experience with modern data transformation, orchestration, and query frameworks.
• Experience building systems and products on top of large language models.
• Experience with privacy-preserving data systems or data governance and lineage tooling.
• Experience building and operating web services and their underlying infrastructure.
• Full-stack development or complex data visualization experience.
• Background in econometrics, statistics, or quantitative social science.
• Experience working in environments where engineers partner closely with quantitative users, such as research labs, trading firms, or analytics companies.

Compensation and Logistics

• Annual salary: $320,000–$405,000 USD.
• Anthropic expects staff to work from one of its offices at least 25% of the time; some roles may require more office time.
• Anthropic sponsors visas, although sponsorship is not guaranteed for every role or candidate, and provides immigration lawyer support.
• Benefits include competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.