Backed by Y Combinator.
About the role
We’re looking for Research Engineers to build our synthetic data pipeline. You’ll turn domain-specific workflows into synthetic training tasks that are realistic enough to enough to teach useful behavior, structured enough to generate at scale, and difficult enough to expand model capabilities. Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains
What they're looking for
- Proficiency in Python, Docker, and Linux environments
- Have experience with synthetic data research methods - please elaborate in your application
- Strong understanding of what “good synthetic data” means and its limitations
- Built synthetic data pipelines end-to-end without a fully prescribed roadmap
- Experience working on environments, evals, and benchmarks
More about this role
HUD is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We’ve raised $16M from top VCs and were YC W25.
We’re looking for Research Engineers to build our synthetic data pipeline. You’ll turn domain-specific workflows into synthetic training tasks that are realistic enough to enough to teach useful behavior, structured enough to generate at scale, and difficult enough to expand model capabilities.
Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains
Design synthetic task generation methods that produce diverse, realistic, and learnable tasks
Build systems and tooling to mutate, validate, and improve synthetic tasks
Analyze model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail
Develop metrics to quantify and understand synthetic task diversity, realism, learnability, etc.
Proficiency in Python, Docker, and Linux environments
Have experience with synthetic...
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