Robotics Learning Engineer

Noble Machines builds multipurpose robots that support human workers in demanding industrial environments. The Robotics Learning Engineer will lead the development of machine learning and AI systems for humanoid robots, including algorithms for locomotion, perception, decision-making, motion planning, and manipulation. The role also involves integrating learning systems with hardware, designing simulations, analyzing field data, and evaluating robot learning performance.

Responsibilities:

• Create and optimize learning pipelines for training locomotion policies that generalize across environments
• Develop and implement machine learning models for robot perception, decision-making, and motion planning
• Create and optimize computer vision systems for environmental awareness and object recognition
• Collaborate with the hardware team to integrate learning systems with the physical platforms
• Design simulation environments for training and testing learning algorithms
• Collect, process, and analyze field data to improve learning systems continuously
• Develop metrics and benchmarks to evaluate robot learning performance
• Stay current with the latest research and innovations in robotics and machine learning