04 Apr
Washington, Seattle-tacoma , 98101 Seattle-tacoma USA

DESCRIPTION Job summaryAre you excited about developing state-of-the-art Scientific, Machine Learning, Computer Vision, Natural Language Processing, and Deep Learning algorithms and designs using large data sets to solve real world problems? Are you eager to work with a team of Principle Engineer, Senior Engineers and the best Scholars, Economists & Machine Learning Scientists at Amazon? If yes, keep reading!The Core AI team at Amazon works with senior management on key business problems faced in retail, international retail, supply chain, traffic, search, pricing, cloud computing, third party merchants, Kindle and operations. We apply the frontier of AI thinking to market design, pricing, forecasting, online advertising, supply chain network planning and other areas. As an Machine Learning Engineer, you will collaborate with the top scholars, economists, machine learning scientists and other SDEs across the company to develop, test, and deploy services that implement a wide range of econometric and machine learning models for some of the most confidential projects at Amazon. This requires the use of sophisticated distributed systems, the processing and visualization of Big Data and application of advanced ML techniques. A successful candidate should have a passion for innovation, interest in cutting-edge technology, and excitement about working in a high-impact domain.Apply today to help us research and build the future! BASIC QUALIFICATIONS

  • 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability and scaling) of new and current systems.
  • 2+ years of non-internship professional software development experience
  • Programming experience with at least one software programming language.
PREFERRED QUALIFICATIONS Master's degree in Computer Science, Computer Engineering or related technical discipline Experience building complex software systems that have been successfully delivered to customers and had high impact Knowledge of one or more of the following areas: econometrics, statistical modeling, machine learning, data mining Broad ability to take a project from scoping requirements through launch and operations of the projectAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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