Applied Science Manager, Fleet Autonomy, Amazon Robotics

Job description

We are seeking an Applied Science Manager to lead the team that invents how our autonomous mobile robot fleet thinks - from how robots negotiate shared space to adapting fleet behavior as tasks and deadlines change. This is a rare opportunity to own the evolution of multi-robot coordination in free space at an unprecedented scale.

Proteus is Amazon's first fully autonomous mobile robot and navigates freely alongside people in our fulfillment centers, perceiving its environment and making decisions in real time. The fleet is growing quickly in scale, diversity, and intelligence, with thousands of robots deployed and new platforms including mobile manipulation entering the mix.

Job requirements

PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
5+ years of industry or academic research experience
2+ years of scientists or machine learning engineers management experience
Experience programming in Java, C++, Python or related language
Experience building machine learning models or developing algorithms for business application
Strong understanding of autonomous mobile robots and how they navigate
Experience deploying robotic systems into the field
Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

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