14 days ago
Base Salary
$320k - $405k/yr
Responsibilities
- Build and operate data pipelines that convert raw usage data into clean, reusable, privacy-preserving datasets.
- Design classifiers, model-internals probes, and the ML pipelines supporting analysis of Claude usage and AI’s economic impact.
- Build self-service workflows to ingest and integrate external data sources with internal datasets.
- Develop APIs, libraries, and interfaces that provide data to researchers and the public.
- Partner with researchers, data scientists, policy experts, and cross-functional teams on economic research and Anthropic’s safety mission.
- Contribute to the roadmap, documentation, and practices for safe, governed, self-service data access.
- Maintain data reliability, integrity, and privacy compliance across economic research infrastructure.
Requirements
- Significant production experience building data-intensive applications, pipelines, or internal tooling.
- Experience with cloud infrastructure platforms such as AWS or GCP.
- Strong Python development skills and a commitment to clean, well-documented code.
- Understanding of analytics workflows and researcher and data-scientist needs.
- Ability to make sound technical decisions amid ambiguity while maintaining high engineering standards.
- Ability to work end-to-end across system components and responsibilities.
- Strong communication and collaboration skills with technical and nontechnical partners.
- Interest in AI’s economic implications and the societal impact of the work.
- Preferred experience with modern data transformation, orchestration, and query frameworks.
- Preferred experience building products on top of LLMs, privacy-preserving data systems, or data governance and lineage tooling.
- Preferred experience operating web services and their underlying infrastructure, full-stack development, or complex data visualization.
- Background in econometrics, statistics, or quantitative social science is a bonus.
- Experience working closely with quantitative users in research labs, trading firms, or analytics companies is a bonus.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.
Benefits
- Hybrid policy requiring staff to work from an Anthropic office at least 25% of the time, with some roles requiring more office time.
- Visa sponsorship is available, with reasonable efforts and immigration-lawyer support for eligible offers.
- Competitive benefits including generous vacation and parental leave.
- Flexible working hours and a collaborative office environment.
- Optional equity donation matching.
- Applications are reviewed on a rolling basis with no stated deadline.
Tech Stack
Categories
Data Engineering
About Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.