mid machine learning Applied Scientist ic 3+ yrs Master's · Posted Jan 8, 2026
$171,600 – $222,200
USD per year

About this role

Amazon is hiring a mid-level Applied Scientist in the machine learning function based in Bellevue, WA. The posting calls out experience with Computer Vision, Deep Learning, Linux, Distributed Systems and roughly 3+ years of relevant work. Listed education preference: a master's degree or equivalent. Compensation is listed at $171,600–$222,200 per year.

Role
Applied Scientist
Function
machine learning
Level
mid
Track
Individual contributor
Employment
Full-time
Location
Bellevue, WA
Experience
3+ years
Education
Master's degree
Department
Applied Science
Posted
Jan 8, 2026
AI Summary
Develop AI/ML solutions for autonomous last-mile delivery, focusing on computer vision, perception, navigation, and path planning. Design production-ready algorithms and lead research initiatives. Requires 3+ years building ML models, PhD or Master's with 4+ years CS/ML experience, and publications or patents.

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Job description

from Amazon careers

As an Applied Scientist for Last Mile Delivery Automation, you will be at the forefront of developing AI and ML solutions that power our delivery solutions. This role combines deep expertise in machine learning, computer vision, and robotics to solve complex challenges in real-world perception, navigation, and path planning. You will work closely with applied scientists, software developers, and product teams to research, design, and implement sophisticated algorithms that enable safe and efficient operations. This position requires a unique blend of theoretical knowledge and practical implementation skills, with a focus on transforming research concepts into production-ready solutions that can operate reliably in diverse real-world environments. Key job responsibilities - Design and develop advanced machine learning models and algorithms for perception, navigation and planning. - Lead research initiatives in areas such as computer vision, sensor fusion, behavioral prediction, and path planning - Transform research concepts into production-ready solutions that meet strict safety and performance requirements - Develop novel approaches to solve complex technical challenges in perception, navigation and planning - Create and implement metrics and evaluation frameworks to measure model performance - Collaborate with engineering teams to integrate ML solutions into production stack - Publish research findings and represent Amazon at…

This is an excerpt. Read the full job description on Amazon careers →
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