Data Engineer (AI)

TL;DR

Research Engineer (AI): Designing, building, and maintaining critical infrastructure for hirify.global's research on AI's economic impact with an accent on data processing pipelines and privacy-preserving tools. Focus on developing novel data systems leveraging language models and ensuring data reliability and integrity.

Location: San Francisco, CA. Must be in one of our offices at least 25% of the time.

Salary: $300,000 - $320,000 USD

Company

hirify.global’s mission is to create reliable, interpretable, and steerable AI systems.

What you will do

• Build and maintain data pipelines that process large-scale Claude usage logs into reusable datasets while maintaining user privacy.
• Expand privacy-preserving tools to enable new analytic functionality to support research needs.
• Design and implement novel data systems leveraging language models.
• Develop and maintain data pipelines that are interoperable across data sources to support economic analysis.
• Contribute to the strategic development of the economic research data foundations roadmap.
• Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure.

Requirements

• Experience working with Research Scientists and Economists on ambiguous AI and economic projects.
• Experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments.
• Experience with cloud infrastructure platforms such as AWS or GCP.
• Take pride in writing clean, well-documented code in Python.
• Bachelor's degree in a related field or equivalent experience.
• Visa sponsorship is available.

Nice to have

• Background in econometrics, statistics, or quantitative social science research.
• Experience building data infrastructure and data foundations for research.
• Familiarity with large language models, AI systems, or ML research workflows.
• Prior work on projects related to labor economics, technology adoption, or economic measurement.

Culture & Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Lovely office space in which to collaborate with colleagues.