Deep Learning Robot Manipulation Engineer
Core
Designing and deploying deep learning models to enable dexterous manipulation and tool-use for humanoid robots in real-world environments.
Role type
Deep Learning Robot Manipulation Engineer
Builds
Robotic manipulation policies and control systems for humanoid robots
Domain
Robotics / Deep Learning / Autonomous Systems
Deliverable
production ML models
Required skills
Deep learning for robotic manipulation, behavior cloning, curriculum learning, tactile sensing integration, proprioception, real-time model deployment, simulation environments, evaluation pipelines
Preferred skills
Product launch experience, state-of-the-art architecture development
Technologies
Deep learning frameworks, simulation environments, robotic control systems
Responsibilities
Design and implement advanced deep learning models for dexterous manipulation; Train models using curriculum learning for grasping and tool-use; Incorporate tactile sensing and proprioception into learning pipelines; Design data collection and versioning strategies with teleoperation teams; Deploy trained models to hardware ensuring real-time performance; Develop and optimize the manipulation ML pipeline; Execute evaluation pipelines for robustness and generalization; Collaborate on growing the ML and autonomy teams
Seniority
Mid-Senior, hands-on IC