Are you a MS or PhD student interested applying machine learning techniques to big-data sets? Are you excited by analyzing and modeling terabytes of text, images, and other types of data to solve real-world problems? We love data and we have lots of it. We’re looking for smart scientists capable of using machine learning and statistical techniques to invent state-of-the-art solutions to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Amazon has multiple positions available for Machine Learning Scientists in Seattle, Palo Alto, Boston, New York, Pittsburgh, and Cupertino, for machine learning experts that will be graduating before September 2020.
· In the process of obtaining a Masters or Ph.D. degree (Ph.D strongly preferred) in Engineering, Computer Science, Machine Learning, Statistics or related fields · Strong background in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, graphical models, feature extraction and analysis, supervised learning, in particular discriminative methods. · Theory and practice of Design of Experiments and statistical analysis of results. · An understanding of machine learning, algorithms and computational complexity. · Programming skills sufficient