Research Engineer, Economic AI Data Infrastructure

Anthropic; San Francisco (CA); Hybrid; USD 300,000 - 405,000; Full time

Job summary

A tech-focused research organization in San Francisco is seeking a Research Engineer to develop data systems that analyze AI's economic impact. The role involves building and maintaining data pipelines, working with cross-functional teams, and expanding privacy-preserving tools. Ideal candidates have a strong background in data infrastructure, cloud platforms, and machine learning models. The position offers competitive compensation ranging from $300,000 to $405,000 annually, with a hybrid work policy.

Responsibilities

• Build and maintain data pipelines for Claude usage logs.
• Expand privacy-preserving tools for research needs.
• Design novel data systems leveraging language models.
• Develop interoperable data pipelines for economic analysis.
• Contribute to the data foundations roadmap.
• Ensure data reliability and privacy compliance.
• Lead technical design discussions.
• Create documentation for self-serve data access.

Skills

Experience with Research Scientists and Economists

Building and maintaining data infrastructure

Cloud infrastructure platforms (AWS, GCP)

Writing clean, well-documented Python code

Making technical decisions with incomplete information

Interfacing effectively with machine learning models

Deriving insights from imperfect data streams

Experience building systems on top of LLMs

Strong communication skills

Education

Bachelor's degree in a related field

Job description

A tech-focused research organization in San Francisco is seeking a Research Engineer to develop data systems that analyze AI's economic impact. The role involves building and maintaining data pipelines, working with cross-functional teams, and expanding privacy-preserving tools. Ideal candidates have a strong background in data infrastructure, cloud platforms, and machine learning models. The position offers competitive compensation ranging from $300,000 to $405,000 annually, with a hybrid work policy.