{"schemaVersion":"jobsearcher.job.v1","id":"adce6ceb864ac22c7d773c8e","url":"https://jobsearcher.com/jobs/adce6ceb864ac22c7d773c8e","canonicalUrl":"https://jobsearcher.com/jobs/adce6ceb864ac22c7d773c8e","title":"Applied Scientist, Controls","description":"Applied Scientist II, Whole Body Control\nJob ID: 10395470 | Amazon.com Services LLC\n\nAmazon 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.\n\nAt 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.\n\nThe 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.\n\nKey Job Responsibilities\n\nDesign and implement whole‑body control methods for balance, locomotion, and dexterous manipulation\n\nUtilize state‑of‑the‑art methods in learned and model‑based control\n\nCreate robust and safe behaviors for different terrains and tasks\n\nImplement real‑time controllers with stability guarantees\n\nCollaborate effectively with multidisciplinary teams to co‑design hardware and algorithms for loco‑manipulation\n\nMentor junior engineers and scientists\n\nBasic Qualifications\n\nPhD, or Master’s degree and 2+ years of applied research experience\n\nExperience with imitation learning and reinforcement learning for whole‑body control\n\nExperience with hierarchical quadratic programming and model‑predictive control\n\nExperience with simulation environments such as IsaacLab, Mujoco, Drake, etc.\n\nExperience with developing and deploying code for real‑time controllers\n\nExperience in state estimation from multiple sensor modalities\n\nPreferred Qualifications\n\nExperience in Java, C++, Python, or a related language\n\nExperience working effectively across cross‑functional teams and partnering well with people at all levels within an organization\n\nPhD in Robotics, with a focus on whole‑body control\n\nExperience with low‑level joint torque/impedance control\n\nExperience with teleoperation systems\n\nExperience with robotics frameworks for fast prototyping (Matlab, ROS, etc.)\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur 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.\n\nThe 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.\n\nUSA, MA, N. Reading - 142,800.00 - 193,200.00 USD annually\n\n#J-18808-Ljbffr","company":"Amazon","rawCompany":"amazon","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-17T04:11:45.003Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"17-2199.05","title":"Mechatronics Engineers","slug":"mechatronics-engineers"},{"code":"17-3024.01","title":"Robotics Technicians","slug":"robotics-technicians"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Applied Scientist, Controls","description":"Applied Scientist II, Whole Body Control\nJob ID: 10395470 | Amazon.com Services LLC\n\nAmazon 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.\n\nAt 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.\n\nThe 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.\n\nKey Job Responsibilities\n\nDesign and implement whole‑body control methods for balance, locomotion, and dexterous manipulation\n\nUtilize state‑of‑the‑art methods in learned and model‑based control\n\nCreate robust and safe behaviors for different terrains and tasks\n\nImplement real‑time controllers with stability guarantees\n\nCollaborate effectively with multidisciplinary teams to co‑design hardware and algorithms for loco‑manipulation\n\nMentor junior engineers and scientists\n\nBasic Qualifications\n\nPhD, or Master’s degree and 2+ years of applied research experience\n\nExperience with imitation learning and reinforcement learning for whole‑body control\n\nExperience with hierarchical quadratic programming and model‑predictive control\n\nExperience with simulation environments such as IsaacLab, Mujoco, Drake, etc.\n\nExperience with developing and deploying code for real‑time controllers\n\nExperience in state estimation from multiple sensor modalities\n\nPreferred Qualifications\n\nExperience in Java, C++, Python, or a related language\n\nExperience working effectively across cross‑functional teams and partnering well with people at all levels within an organization\n\nPhD in Robotics, with a focus on whole‑body control\n\nExperience with low‑level joint torque/impedance control\n\nExperience with teleoperation systems\n\nExperience with robotics frameworks for fast prototyping (Matlab, ROS, etc.)\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur 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.\n\nThe 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.\n\nUSA, MA, N. Reading - 142,800.00 - 193,200.00 USD annually\n\n#J-18808-Ljbffr","datePosted":"2026-06-17T04:11:45.003Z","dateModified":"2026-06-17T04:11:45.003Z","hiringOrganization":{"@type":"Organization","name":"Amazon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"adce6ceb864ac22c7d773c8e"},"url":"https://jobsearcher.com/jobs/adce6ceb864ac22c7d773c8e"}}