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Description

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 technical conferences

About the team
The Applied Science team within Amazon's Last Mile Delivery Automation organization focuses on developing machine learning solutions for autonomous systems. We work at the intersection of computer vision, deep learning, robotics, and control systems to create robust and scalable algorithms that enable safe autonomous operation. Our team combines expertise from diverse scientific backgrounds to tackle fundamental challenges in perception, prediction, and decision-making.