Ever wondered what will be Amazon.com without classification. A gigantic catalog of items with no way to search and discover products. We are the team that make Amazon.com your favorite place to browse, search and find your product. The classification team in Amazon is doing exciting projects to improve Amazon.com's user experience. We use innovative machine learning techniques to enhance visibility of items in catalog and eventually ease customer's experience in browsing Amazon's catalog. You'll work on a variety of problems related to the document classification, ranging from naive bayesian to Vowpal Wabbit to Deep Learning.
Our projects involve working on a variety of tasks that involves solving challenges in machine learning, information-retrieval, search relevance, natural language processing, massive scalability, storage solutions, high throughput and low latency website facing distributed services. You'll invent algorithms for improving recall of classification algorithms with high accuracy constraints. Automatic Browse Classification presents a unique opportunity to machine learning enthusiasts to practice their passion for a company that is the e-tailer of the world.