Applied Scientist, Last Mile Delivery Automation

Amazon
Santa Clara, CA, USA / Bellevue, WA, USA2026-01-08ONSITE

About the job

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.

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 technical conferences

Qualifications

Minimum

3+ years of building models for business application experience

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience

Experience in patents or publications at top-tier peer-reviewed conferences or journals

Experience in building machine learning models for business application

Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred

Experience using Unix/Linux

Experience in professional software development