Robot Learning Researcher

DeepReach AI is hiring a Robot Learning Researcher to train and evaluate robot manipulation policies using large-scale human demonstration and robot data. The role also involves designing experiments, building reproducible training and evaluation frameworks, translating findings into data standards, and reproducing state-of-the-art research.

Responsibilities:

• Train robot manipulation policies (imitation learning, diffusion policies, VLAs) on large-scale human demonstration and robot data, and evaluate them in simulation and on real hardware
• Design systematic experiments to understand how data scale, diversity, and composition affect policy performance
• Build reproducible training and evaluation frameworks and standardized benchmarks
• Turn experimental findings into actionable data standards, working with data and engineering teams
• Track and reproduce state-of-the-art research to keep the team at the frontier