Amazon.com Services LLC
Robotics
AppliedScientistII,ReinforcementLearning
Neural analysis suggests this role is
optimal for Mid candidates.
“Applied Scientist II, Reinforcement Learning at Amazon.com Services LLC. Skills: Reinforcement Learning, Robotics, Control Systems, Machine Learning. Design whole body control methods. Implement whole body control methods”
Industry & Context.
Solve complex operational challenges
What They're Looking For.
Must Have
Master's degree and 2+ years applied research, Experience with imitation learning, Experience with reinforcement learning, Experience with whole-body control, Experience with learned control methods, Experience with model-based control, Experience with hierarchical quadratic programming, Experience with model-predictive control, Experience with simulation environments, Experience with IsaacLab, Experience with Mujoco, Experience with Drake, Experience developing code for real-time controllers, Experience deploying code for real-time controllers, Experience in state estimation, Experience with multiple sensor modalities
Nice to Have
PhD in Robotics, Focus on whole-body control, Experience with low-level joint torque control, Experience with impedance control, Experience with teleoperation systems, Experience with robotics frameworks, Experience with fast prototyping, Experience programming in Java, Experience programming in C++, Experience programming in Python, Experience working effectively across cross-functional teams, Partnering well with people at all levels
What You'll Do.
Design whole body control methods
Implement whole body control methods
Utilize state-of-the-art methods
Create robust behaviors
Create safe behaviors
Implement real-time controllers
Collaborate with multi-disciplinary teams
Mentor junior engineers
Mentor junior scientists
How You'll Work.
Team & Collaboration
Multi-disciplinary teams; Cross-functional teams
Full Job Description
Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. At Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment. Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration. Key job responsibilities - Design and implement whole body control methods for balance, locomotion, and dexterous manipulation - Utilize state-of-the-art in methods in learned and model-based control - Create robust and safe behaviors for different terrains and tasks - Implement real-time controllers with stability guarantees - Collaborate effectively with multi-disciplinary teams to co-design hardware and algorithms for loco-manipulation - Mentor junior engineer and scientists Basic Qualifi
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