Staff Research Scientist

About

As a Staff Research Scientist, spearhead advancements in robotic manipulation. Focus on cutting-edge techniques in Reinforcement Learning and Imitation Learning for real-world applications. This role emphasizes engineering and refining algorithms that drive humanoid robots. You'll manage training and data collection processes, evaluating their application success in integrated environments. The position provides the unique opportunity to influence robotics using haptic and proprioceptive sensing capabilities.

Key Responsibilities

• Develop leading-edge RL and IL learning strategies
• Assess algorithm efficacy in practical scenarios
• Construct training pipelines for deployment
• Communicate and lead significant research initiatives
• Collaborate to analyze algorithm performance issues

Requirements

• Ph.D. in Machine Learning or equivalent experience
• 5+ years in robotic task implementation
• Hands-on experience with RL/IL methodologies
• Proven knowledge in large-scale simulations
• Active role in integrating ML into robotic functions

Drive innovation in humanoid robots by applying your skills in RL and Imitation Learning to transform robotics. J-18808-Ljbffr