Research Engineer, Economic Research Data Platform
Core
Design, build, and maintain critical data infrastructure and pipelines to power research on AI's economic impact, including privacy-preserving analysis and public data products.
Role type
Senior Research Engineer (Data Infrastructure & ML)
Builds
Scalable data processing pipelines, classifiers, ML probes, self-serve data ingestion workflows, and APIs/libraries for researchers and the public.
Domain
AI Economics, Data Infrastructure, Privacy-Preserving Analytics
Deliverable
production ML models | infrastructure
Required skills
Data pipeline architecture, cloud infrastructure (AWS/GCP), Python development, ML pipeline implementation, API design, data governance, cross-functional collaboration
Preferred skills
Data transformation/orchestration frameworks, LLM system building, data lineage tooling, full-stack development, econometrics/statistics background
Technologies
Python, AWS, GCP
Responsibilities
Build and operate data pipelines turning raw usage data into clean, privacy-preserving datasets; Design new systems including classifiers and ML pipelines to understand Claude usage and economic impact; Build self-serve workflows to ingest and integrate external data sources; Develop APIs, libraries, and interfaces serving data to researchers and the public; Partner with researchers, data scientists, and policy experts to advance safety mission; Ensure data reliability, integrity, and privacy compliance across infrastructure
Seniority
Senior, hands-on IC
