Are you passionate about developing simple, elegant solutions to complex problems? 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 Logistic Regression to Deep Learning Neural Networks.
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 and Detection presents a unique opportunity to machine learning enthusiasts to practice their passion for a company that is the e-tailer of the world.
Do you like to work on a high impact, high visibility application of ML based classification technique? Have you ever wondered what are the practical challenges to putting automatic classification to practice? At browse auto classification we are innovating new ways to auto classify at high precision using imprecise data for training. By increasing the coverage of the browse tree we are constantly working towards a better buyer and seller experience.
We are among the few teams in Amazon who routinely dedicate time to research and prototyping. We are a young fleet of geeks super excited about ML. Come join the fun.