Applied Scientist III, Body Control

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 unique opportunity lets you shape the future of robotics through innovative applications of deep learning and large language models, working with world‑class teams that push the boundaries of robotic dexterous manipulation, locomotion, and human‑robot interaction.

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 is revolutionizing how robots learn, adapt, and interact with their environment.

• 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.

• 3+ years of building machine learning models for business application experience.
• 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 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.

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, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 .

USA, MA, N.Reading -  -  USD annually