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Responsibilities:
- Build infrastructure for agent research: environment execution, trajectory collection, and evaluation at scale.
- Develop reusable tools and pipelines for launching experiments and managing data.
Experience:
- Strong Python fundamentals and ownership of backend services or data pipelines.
- Comfort with Docker, Linux, and cloud infrastructure, plus translating research needs into systems.
Compensation & Benefits:
- Salary bands from $105k to $260k depending on location and experience.
- Medical, dental, vision, 401k match, meals, and more.
HUD
HUD builds reliable, fair, and open infrastructure for AI data, making data valuable for creators and trustworthy for labs. The team is a quickly growing group of ~25 researchers, engineers, and operators backed by $16M from top VCs and YC.