Data Platform Research Engineer, AI Economics

Anthropic; California (MO); Hybrid; USD 320,000 - 405,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching (optional)

Generous vacation & parental leave

Flexible working hours

Office space

Job summary

Anthropic is seeking a Research Engineer on the Economic Research Data Platform to design, build, and maintain data infrastructure powering AI economic research. You will work with data systems across Anthropic, including privacy-preserving analytics tools and research workflows.

The role collaborates with Data Science, Data Infrastructure, Societal Impacts, and Public Policy to create scalable pipelines, APIs, and self-serve data access while upholding safety and governance standards.

Qualifications

• Experience building data processing pipelines and internal tooling.
• Familiar with cloud platforms (AWS or GCP) and Python.
• Strong collaboration with researchers and data scientists.
• Experience in economics or econometrics is a plus.

Responsibilities

• Build and operate the data pipelines that turn raw usage data into clean, reusable, 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 with internal datasets.
• Develop APIs, libraries, and interfaces that serve data to researchers and the public.
• Partner with researchers, data scientists, policy experts, and cross-functional teams to advance Anthropic's safety mission.
• Contribute to the team roadmap, documentation, and governance practices for safe data access.
• Ensure data reliability, integrity, and privacy across economic research infrastructure.

Skills

Data pipelines

Python

AWS

GCP

Data engineering

Education

Bachelor's degree in a relevant field

Tools

Airflow

SQL

Spark

Job description

Anthropic is seeking a Research Engineer on the Economic Research Data Platform to design, build, and maintain data infrastructure powering AI economic research. You will work with data systems across Anthropic, including privacy-preserving analytics tools and research workflows.

The role collaborates with Data Science, Data Infrastructure, Societal Impacts, and Public Policy to create scalable pipelines, APIs, and self-serve data access while upholding safety and governance standards.