Join Onsite Publishing in changing the way customers shop on Amazon. We leverage the knowledge of hundreds of thousands of content creators (Amazon Associates, Influencers) to create better product research and discovery experiences on Amazon. Our mission is to make sure that customers think of Amazon first for product research and discovery - through sourcing, integrating, and valuing third-party content on Amazon. Our team builds systems that ingest content at scale; builds models to understand, classify, and extract attributes/metadata from content; integrates that content across the site in places where it helps customers shop (search, detail pages); and builds valuation and payment models to measure incremental value. You will develop ML/NLP/Deep Learning approaches to solve a variety of challenges related to structuring unstructured content, building content understanding and classification models, and detecting fraud and abuse. You will participate in the Amazon ML community, publish
· Masters degree in Computer Science, Engineering, Mathematics or related discipline. · PhD in one of above disciplines, OR at least 4 years of experience with machine learning systems. · Proficiency in, at least, one modern programming language such as C, C++, Java · Proficiency in, at least, one modern scripting language such as Python, R · Strong Computer Science fundamentals in machine learning, data structures, algorithm design and complexity analysis.· PhD in Computer Science, Engineering, Mathematics or related discipline. · Self-directed, flexible, goal oriented and strong sense of ownership