Applied Scientist, Amazon

• PhD, or a Master's degree and experience in CS, CE, ML or related field
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Experience in building machine learning models for business application

Desirable

• We are looking for talented Applied Scientists who are adept at a variety of skills, especially with LLMs, use of edge devices, computer vision, or related foundational models that will accelerate our plans to generate high-quality defect detection mechanisms
• As an Applied Scientist II, you will design, develop, and maintain scalable, Artificial Intelligence models with automated training, validation, monitoring and reporting
• You will work closely with other scientists and engineers to architect and develop new learning algorithms and prediction techniques
• You will collaborate with product managers and engineering teams to design and implement scientific solutions for Amazon problems
• Provide technical and scientific guidance to your team members
• Contribute to the research community, by working with other scientists across Amazon and publish papers at peer reviewed journals and conferences
• Design and implement scalable infrastructure that enables stacked deep learning models to detect a variety of defects in fractions of a second
• Design and implement anomaly detection and large language models to identify defects associated with customer packages
• Experiment and scale models to thousands of sites worldwide
• Collaborate with RME internal and external stakeholders and have a cross-team impact
• Create and share with audiences of varying levels technical papers and presentation
• We are a growing team of applied, research, and data scientists working together with an engineering team and product managers to create the next-generation IIoT platform for the Reliability and Maintenance Engineering org