Research Engineer, Economic Research Data Platform
Anthropic · San Francisco, CA · AI Research & Engineering · listed January 16, 2026
The shape of it
Seniority
Not stated
Where
Hybrid
Stated pay
$320,000 – $405,000 USD
Requirements listed
3
Length
1,241 words
In the posting’s own words
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.
What it asks for · 3
- 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
- Experience with modern data transformation, orchestration, and query frameworks
Also a plus
- 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
What the job covers
- 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
Tools and skills named
Ways of working
- Cross-functional2×
- Technical writing
Cloud & infra
- AWS
- GCP
Data
- Data pipelines
- Statistics
Models & research
- LLM
- Machine learning
Languages
- Python
Product & design
- Roadmap
Words the posting leans on
- data20×
- economic13×
- research9×
- build6×
- impact6×
- infrastructure6×
- systems6×
- building5×
- economic index5×
- internal4×
- partner4×
- pipelines4×
- researchers4×
- analytics3×
- data systems3×
- economic research3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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