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