Research Engineer (General)

HUD is building infrastructure for training data and evaluations for frontier AI agents. The Research Engineer will build systems for creating and evaluating agent training environments, improve data quality, develop research and data tools, and create metrics for assessing tasks, environments, and evaluations.

Responsibilities:

• Build systems for creating, running, evaluating, and improving agent training environments
• Design experiments to understand model behavior, agent failure modes, and data quality issues
• Develop tools that help researchers, engineers, and data vendors create higher-quality tasks, trajectories, and feedback loops
• Work across the full lifecycle of agent training data - task design, environment setup, trajectory collection, evaluation, and validation
• Partner with external vendors to identify bottlenecks and improve the quality and throughput of HUD’s data engine
• Build metrics and analyses that help us understand whether our tasks, environments, and evals are actually useful for training frontier agents