Applied Science Manager

robotics systems that will transform automation at Amazons scale. Were 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 unprecedented scale working with world-class teams pushing the boundaries of whats possible in robotic 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 Industrial Robotics we leverage advanced robotics machine learning and artificial intelligence to solve complex operational challenges at unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide working in sophisticated coordination to fulfill our mission of customer excellence.

We are pioneering the development of robotics foundation models that:

Enable unprecedented generalization across diverse tasks

Enable unprecedented robustness and reliability industry-ready

Integrate multi-modal learning capabilities (visual tactile linguistic)

Accelerate skill acquisition through demonstration learning

Enhance robotic perception and environmental understanding

Streamline development processes through reusable capabilities



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 thats 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.

As an Applied Science Manager in the Foundation Model team you will build and lead a team that develops and improves machine learning systems that help robots perceive reason and act in real-world environments. You will set the technical direction for leveraging state-of-the-art models (open source and internal research) evaluating them on representative tasks and adapting/optimizing them to meet robustness safety and performance needs. You will drive the capability roadmap and the evaluation strategy that defines what the robot brain can do and you will sponsor targeted innovation when gaps remain. Youll collaborate closely with research controls hardware and product teams and ensure the teams outputs can be further customized and deployed by downstream teams on specific robot embodiments.

- 3 years of scientists or machine learning engineers management experience
- Knowledge of ML NLP Information Retrieval and Analytics

- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers

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 for more information. If the country/region youre applying in isnt 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 MA North Reading - 183800.00 - 248700.00 USD annually