Applied Science Manager, Fleet Autonomy, Amazon Robotics
Core
Lead the team inventing how autonomous mobile robot fleets think, focusing on multi-robot coordination, traffic shaping, task assignment, and fleet orchestration in dynamic fulfillment center environments.
Role type
Senior Applied Science Manager (Multi-Robot Systems)
Builds
Algorithms for autonomous fleet coordination, traffic management, and task assignment deployed to thousands of robots.
Domain
Robotics, Multi-Agent Systems, Operations Research, Logistics
Deliverable
production ML models
Required skills
PhD in engineering/CS/ML/Robotics/OR/Stats/Math, 5+ years research experience, 2+ years management experience, Java/C++/Python programming, ML model development, autonomous mobile robot navigation, field deployment of robotic systems
Preferred skills
Deep learning and computer vision in complex software systems, mobile robot fleets in industrial/logistics settings, computationally efficient decision-making algorithms for live production
Technologies
Java, C++, Python, Deep Learning, Computer Vision
Responsibilities
Set technical vision and research agenda, build and mentor a team of applied scientists, drive algorithms from research to production deployment, represent the team externally via publications and collaborations
Seniority
Senior, hands-on IC with management responsibilities