Senior Applied Scientist

Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at 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 role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.

About the role

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. 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.

Responsibilities

• Design and implement whole body control methods for balance, locomotion, and dexterous manipulation
• Utilize state-of-the-art 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 engineers and scientists

Requirements

• 3+ years of building machine learning models for business applications
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
• Experience with methods for whole-body control such as hierarchical quadratic programming and model-predictive control
• Experience with imitation learning and reinforcement learning for whole-body control
• Experience with simulation environments such as IsaacLab, Mujoco, Drake, etc.
• Experience with developing and deploying code for real-time controllers
• Experience in state estimation from multiple sensor modalities

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
• PhD in Robotics, with a focus on whole-body control
• Experience with low-level joint torque/impedance control
• Experience with robotics frameworks for fast prototyping (Matlab, ROS, etc.)

Pay

USA, MA, N.Reading - $167,100.00 - $226,100.00 USD annually

Benefits

• Sign-on payments and restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription)
• Basic Life & AD&D insurance and option for Supplemental life plans
• Employee Assistance Program (EAP) and Mental Health Support
• Medical Advice Line
• Flexible Spending Accounts
• Adoption and Surrogacy Reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Learn more about our benefits.