Do you want to join an innovative team of scientists and engineers who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon's customers? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? If yes, you may be a great fit for the Core ML Substitute team. If you have an entrepreneurial spirit, know how to deliver, love to work with data, extremely customer focused, are deeply technical, highly innovative and long for the opportunity to build solutions at Amazon scale, we want to talk with you. You will work closely with software engineers to put algorithms into production, and work in partnership with teams across Amazon to create enormous benefits for our customers. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon's historical
· PhD in Computer Science, Machine Learning, Statistics or a related field · 5+ years of hands-on experiences in Machine Learning or a related field - Strong grasp of machine learning, data mining and data analytics techniques - Strong Problem solving ability · Skills with Java, C++, or other programming language, as well as with Scala, MATLAB, Python or similar scripting language · Communication and data presentation skills. - Experience with distributed systems for processing large data is a plus - Familiar with Hadoop, Spark, Hive/Pig will be a plus.