The Research Engineer designs, builds, and maintains critical infrastructure to support research on the economic impact of AI. This role involves developing scalable data pipelines that process large-scale usage logs into reusable datasets while ensuring privacy and security. The engineer implements novel data systems and privacy-preserving tools to facilitate research needs. Collaboration with cross-functional teams, including data science, policy, and research, is essential to advance the organization's safety mission. The position requires creating documentation and best practices to enable self-serve data access for researchers.

Candidates must have experience building and maintaining data infrastructure, large datasets, and internal tools in production environments. Proficiency in Python and experience with cloud platforms like AWS or GCP are required. The role necessitates a track record of using technical infrastructure to interface with machine learning models and deriving insights from imperfect data. A minimum of a Bachelor's degree or an equivalent combination of education, training, and experience in a relevant field is required.