Robot learning engineer

Company DescriptionWe are an early-stage robotics startup working on building multi-purpose mobile robots that can do complex manipulation tasks. We are looking for a creative, skilled, and motivated robot learning engineers to join our team in advancing robot manipulation capabilities. We are looking for people with proven expertise in machine learning and/or robotics. You will collaborate with a team of talented researchers and engineers, and drive ongoing innovation and technological advancements within the company. This is a full-time on-site role in Santa Clara, CA.ResponsibilitiesDesign and implement state-of-the-art learning algorithms for robot manipulation, navigation, and control-from simulation to deployment on physical systemsDevelop novel approaches to enhance robot dexterity and mobility using reinforcement learning, imitation learning, and foundation models, etc.Scale ML systems for large-scale model training and fine-tuning.Build diverse, robust manipulation skills that push the boundaries of what robots can doCollaborate closely with hardware, controls, and systems engineers to create integrated solutionsQualificationsPhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or related field; OR Master's degree with 1+ years industry experience; OR Bachelor's degree with 3+ years industry experience2+ years of hands-on experience developing AI systems for robotics applicationsDeep expertise in modern robot learning techniques (reinforcement learning, imitation learning, behavior cloning, etc.)Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX)Proven experience conducting real robot experiments and debugging complex robotic systemsExperience with robot simulators (Isaac Gym, Isaac Sim, MuJoCo, SAPIEN, Drake, or similar)Excellent problem-solving abilities and strong communication skillsGenuine passion for robotics and building products that work in the real worldPreferred QualificationsPublications at top robotics/ML conferences (RSS, CoRL, ICRA, IROS, NeurIPS, ICLR, etc.)Experience with vision-language models or foundation models for roboticsFamiliarity with sim-to-real transfer techniques and domain randomizationExperience with distributed training and MLOps infrastructureBackground in manipulation, grasping, or mobile manipulationTrack record of taking research from prototype to production

Created: 2026-04-02