Applied Science Manager, Prime Air
Amazon · Seattle, WA · Research Science
About this role
Amazon is hiring a principal-level Applied Scientist in the machine learning function based in Seattle, WA. The posting calls out experience with Python, Java, Deep Learning, Reinforcement Learning. Compensation is listed at $183,800–$248,700 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- principal
- Track
- hybrid
- Employment
- Full-time
- Location
- Seattle, WA
- Department
- Research Science
- Posted
- Apr 20, 2026
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Job description
from Amazon careersThe Challenge How do you orchestrate a fleet of autonomous drones to deliver packages safely in under an hour, while maximizing every minute of flight time? How do you scale a mission planning system to handle thousands of concurrent deliveries in complex, shifting environments? Our team of scientists, engineers, and aerospace professionals is solving these exact problems. We are looking for an Applied Science Manager to lead the evolution of our Mission Planning and Orchestration System. You will be at the forefront of defining how Prime Air moves from point A to point B with maximum efficiency. The Role As an Applied Science Manager, you will lead a high-caliber team of scientists and engineers focused on the "brains" of our fleet orchestration. You will bridge the gap between Geospatial Intelligence and Machine Learning to revolutionize our path planning and scheduling algorithms. Your primary north star? Increasing deliveries per hour (DPH) through intelligent, automated optimization. Key Responsibilities: Lead Mentor: Manage a cross-functional team of Applied Scientists and Engineers, fostering a culture of scientific rigor and rapid iteration. Innovate Path Planning: Leverage ML/RL and heuristic search techniques to develop dynamic path-planning algorithms that navigate complex airspace and weather patterns. Optimize Orchestration: Drive…