Build state-of-the-art machine learning systems for Amazons complex transportation network.
About the Role
As an Applied Scientist, you will develop and research machine learning solutions and algorithms for core planning systems within Amazon Transportation Services. This includes areas such as machine learning forecast, uncertainty quantification, planning systems, model interpretability, graph neural nets, and more.
Key Responsibilities
* Develop and implement machine learning models for business applications.
* Collaborate with cross-functional teams to integrate machine learning solutions into large-scale software systems.
* Contribute to research and development of new machine learning techniques and algorithms.
About the Team
The EU ATS Science and Technology team focuses on improving customer experience in middle-mile transportation. We work backwards from Amazons customers to make transportation faster, cheaper, safer, more reliable, and ecologically sustainable.
Requirements
* PhD or Masters degree in Computer Science, Electrical Engineering, Machine Learning, or related field.
* Experience building models for business applications.
* Experience programming in Java, C++, Python, or related languages.
* Experience in areas such as algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
PREFERRED QUALIFICATIONS
* Experience using Unix/Linux.
* Experience in professional software development.