Research Engineer - Scalable QC for RL Training Data

HUD is seeking Research Engineers to automate QC for training data generated through our ML infrastructure, building systems that scale quality for RL training. You’ll implement robust data validation pipelines, sampling strategies, and feedback loops while collaborating with data vendors.

Ideal candidates have strong Python, Docker, and Linux skills, startup experience, and a knack for designing metrics and experiments to assess data quality and task realism.