principal machine learning Applied Scientist hybrid · Posted Apr 20, 2026
$183,800 – $248,700
USD per year

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

More roles at Amazon

Sub-Regional EHS Manager II
Maple Grove, MN · manager
Data Analytics
Member Of Technical Staff - Hardware Science, Frontier AI & Robotics (FAR)
San Francisco, CA · mid
Python Java PyTorch
Finance Manager, GMAC FP&A
Seattle, WA · director
SQL
Engineering Operation Technician
Jeffersonville, OH · mid
AWS Networking
Senior Software Development Engineer, Engagement Security
Herndon, VA · senior
AWS LLMs Distributed Systems
All Amazon jobs →

Job description

from Amazon careers

The 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…

This is an excerpt. Read the full job description on Amazon careers →
All machine learning jobs machine learning in Seattle, WA Jobs in Seattle, WA machine learning salaries machine learning career path
All Amazon Jobs Browse machine learning roles principal positions