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.

Omakase Robotics is accepting employee referrals for prospective opportunities on its AI and robotics team. Applicants must be referred by a current employee, submit the application personally through the ENTRY form, and include the referrer’s name. The company will verify the referral after submission.