Research Engineer, Economic Research Data Platform

anthropic; San Francisco (CA); On-site; USD 300,000 - 405,000; Full time

Job summary

Anthropic is seeking a Research Engineer for its Economic Research Data Platform team in San Francisco. The role involves designing and maintaining infrastructure for AI's economic impact research. You will collaborate with cross-functional teams, building scalable data systems while ensuring privacy compliance.

Strong candidates will have experience in data applications and cloud platforms, with a focus on clear communication. Competitive compensation of $300,000 - $405,000 offered.

Qualifications

• Significant experience building data-intensive applications and pipelines.
• Experience with cloud platforms like AWS or GCP.
• Comfortable making technical decisions with incomplete information.

Responsibilities

• Build and operate data pipelines for economic research.
• Design new systems for understanding AI usage and economic impact.
• Develop APIs and libraries for data access.

Skills

Building data-intensive applications

Python programming

Cloud infrastructure (AWS, GCP)

Strong communication skills

Education

Bachelor’s degree or equivalent

Tools

Data transformation frameworks

Data governance tooling

Job description

Research Engineer, Economic Research Data Platform

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As a Research Engineer on the Economic Research Data Platform team, you will design, build, and maintain critical infrastructure that powers Anthropic's research on AI's economic impact. You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis.

The Economic Research team is part of the Anthropic Institute, and studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data, including the Anthropic Economic Index, for the benefit of the public – helping policymakers, businesses, and workers understand and navigate the transition to powerful AI. The questions we work on include: how is AI changing jobs and economic activity, who is adopting it and why, and what determines whether a region or industry captures value from it.

In this role, you will work closely with teams across Anthropic – including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy – to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting and implementing high-quality internal infrastructure, working in a fast-paced environment, and navigating ambiguity.

Responsibilities

• Build and operate the data pipelines that turn raw usage data into clean, reusable, privacy-preserving datasets
• Design new systems – including developing classifiers, training probes on model internals, and building the ML pipelines behind them – for understanding how Claude is used and the impact it's having on the economy
• Build self-serve workflows to ingest and integrate external data sources so they're interoperable with internal datasets
• Develop the APIs, libraries, and interfaces that serve data to researchers and the public
• Partner closely with researchers, data scientists, policy experts, and other cross‑functional partners to advance Anthropic's safety mission
• Contribute to the team roadmap, documentation, and practices that enable self‑serve data access while maintaining safety and governance standards
• Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure

You might be a good fit if you:

• Have significant experience building data-intensive applications, pipelines, or internal tooling in production
• Have experience with cloud infrastructure platforms such as AWS or GCP, and take pride in writing clean, well-documented code in Python that others can build upon
• Have intuition for analytics workflows and empathy for how researchers and data scientists work
• Are comfortable making technical decisions with incomplete information while keeping engineering standards high
• Have a "full-stack mindset", not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description
• Have strong communication skills to collaborate effectively with economists, researchers, and cross‑functional partners who may have varying levels of technical expertise
• Care about the societal impacts of your work, and are interested in AI's economic implications
• Experience with modern data transformation, orchestration, and query frameworks
• Building systems and products on top of LLMs
• Privacy-preserving data systems, or data governance and lineage tooling
• Building and operating web services and the infrastructure underneath them
• Full-stack development or complex data visualization
• Background in econometrics, statistics, or quantitative social science
• Working in environments where engineers partner closely with quantitative users – research labs, trading firms, analytics companies

Compensation

$300,000 - $405,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.

Minimum years of experience: Correlates with the internal job level requirements for the position.

Location-based hybrid policy: We expect all staff to be in one of our offices at least 25% of the time.

Visa sponsorship: We sponsor visas where possible and will make reasonable effort if an offer is made.

Equal Employment Opportunity

As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.