Backed by Y Combinator.
About the role
We’re looking for a Senior Research Infrastructure Engineer to accelerate research on training and evaluating frontier AI agents. You’ll build the software and infrastructure that enable HUD’s researchers to iterate on environments, collect trajectories, and evaluate model behavior. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong software engineering fundamentals and proficiency in Python, with a record of building maintainable systems used by others
- Ownership of backend services, data pipelines, developer tools, or infrastructure from design through deployment and operation
- Sound judgment about APIs, data models, asynchronous workloads, and the tradeoffs involved in building reliable systems
- Comfort with Docker, Linux, cloud infrastructure, and debugging failures across application code and the systems it runs on
- The ability to work closely with researchers, understand experimental workflows, and translate open-ended research needs into useful software
- Independent technical judgment to set priorities, make pragmatic architecture decisions, and improve systems as their users and workloads grow
More about this role
HUD 's mission is to build reliable, fair and open infrastructure for AI data. We want data to be valuable for the people who create it and trustworthy for the labs that train on it. Our team is a quickly growing group of researchers, engineers and operators building the economy that shapes what AI will become. Backed by $16M from top VCs and YC (W25), our marketplace and platform are used by startups, Fortune 500 companies and frontier labs.
We’re looking for a Senior Research Infrastructure Engineer to accelerate research on training and evaluating frontier AI agents. You’ll build the software and infrastructure that enable HUD’s researchers to iterate on environments, collect trajectories, and evaluate model behavior.
You’ll work closely with research engineers to understand the questions they’re investigating, identify bottlenecks in experimentation, and turn research code into reliable, reusable systems. You’ll own the tools, pipelines, and execution infrastructure that help researchers explore ideas, reproduce results, and scale promising approaches.
Build infrastructure that supports research on agent behavior through reliable environment execution, trajectory collection,...
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