Teams at Omakase Robotics

Train and deploy manipulation policies for humanoid robots using teleoperation data. Responsibilities include VLA and imitation-learning model training, cross-embodiment foundation-model development, distributed training, evaluation through simulation and real-robot trials, dataset quality tooling, policy deployment, and failure analysis.