Applied Scientist II, Whole Body Control
Amazon, San Francisco, CA, United States
Applied Scientist II, Whole Body Control
Job ID: 10395470 | Amazon.com Services LLC
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.
Key Job 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 multidisciplinary teams to co‑design hardware and algorithms for loco‑manipulation
Mentor junior engineers and scientists
Basic Qualifications
PhD, or Master’s degree and 2+ years of applied research experience
Experience with imitation learning and reinforcement learning for whole‑body control
Experience with hierarchical quadratic programming and model‑predictive 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 in Java, C++, Python, or a related language
Experience working effectively across cross‑functional teams and partnering well with people at all levels within an organization
PhD in Robotics, with a focus on whole‑body control
Experience with low‑level joint torque/impedance control
Experience with teleoperation systems
Experience with robotics frameworks for fast prototyping (Matlab, ROS, etc.)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, N. Reading - 142,800.00 - 193,200.00 USD annually
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Job ID: 10395470 | Amazon.com Services LLC
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.
Key Job 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 multidisciplinary teams to co‑design hardware and algorithms for loco‑manipulation
Mentor junior engineers and scientists
Basic Qualifications
PhD, or Master’s degree and 2+ years of applied research experience
Experience with imitation learning and reinforcement learning for whole‑body control
Experience with hierarchical quadratic programming and model‑predictive 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 in Java, C++, Python, or a related language
Experience working effectively across cross‑functional teams and partnering well with people at all levels within an organization
PhD in Robotics, with a focus on whole‑body control
Experience with low‑level joint torque/impedance control
Experience with teleoperation systems
Experience with robotics frameworks for fast prototyping (Matlab, ROS, etc.)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, N. Reading - 142,800.00 - 193,200.00 USD annually
#J-18808-Ljbffr