Sr. Applied Scientist, Amazon Robotics, Structured Field Coordinated Planning & Control
Core
Lead research in AI-driven structured field robotics, focusing on path planning, fleet coordination, and control systems to optimize large-scale mobile robot operations.
Role type
Senior Applied Scientist (Robotics Research & Production)
Builds
Production-ready algorithmic solutions for fleet efficiency, operational cost reduction, and system reliability in large-scale mobile robotics.
Domain
Robotics, AI, Operations Research, Logistics
Deliverable
production ML models | product features
Required skills
Motion planning algorithms (A*, RRT, optimization), multi-agent coordination, Java/C++/Python programming, corporate research experience, machine learning model development, algorithm design for business applications
Preferred skills
Publications at top-tier AI/robotics conferences (CVPR, ICCV, ECCV, NeurIPS), deep expertise in motion planning and multi-agent coordination, PhD with 6+ years applied research experience
Technologies
Java, C++, Python, A*, RRT, optimization-based planning
Responsibilities
Lead research initiatives translating breakthroughs into production solutions; own end-to-end delivery of complex algorithmic solutions from design to deployment; drive technical decisions for Control, Coordination, and Path Planning systems; partner with cross-functional teams to translate business requirements into research problems; influence technical direction through design reviews; mentor junior Applied Scientists on research methodology; operate independently on ambiguous, multi-quarter problems requiring novel AI approaches
Seniority
Senior, hands-on IC with research leadership
