Amazon Fashion is launching a new business for a highly strategic area for Amazon, and reinventing how customers shop for fashion. We are implementing cutting edge ML frameworks and technologies including human-in-the-loop recommender systems, active learning, computer vision, and multi-armed bandits to support a playful and engaging user experience. We are looking for applied/research scientists to conceive, prototype, evaluate, and iterate on solutions to various quantitative applied research problems. You will work closely and cross-functionally across Engineering, Product Management, User Experience Design, and Operations to build this new shopping experience that helps customers find inspiration and products they will love.
* Use machine learning and statistical techniques to design and implement models and recommendation strategies to improve fashion discovery. * Research and implement novel machine learning approaches and execute experiments to evaluate performance * Work closely with software engineering, and product teams to drive model/solution implementations and new feature creation * Work closely with fashion styling teams to maximize decision quality and efficiency * Establish scalable, efficient, automated processes for large scale data analyses, and model development, validation and implementation * Communicate, persuade and influence senior management *
Amazon is a company operating a marketplace for consumers, sellers, and content creators.