Amazon Corporate LLC Machine Learning Scientist - Prime Video Homepage Optimization in Seattle, Washington

Machine Learning Scientist - Prime Video Homepage Optimization Location: US-WA-Seattle Job ID: 634587 Company: : Amazon.com Services, Inc. Position Category: Machine Learning Science Company/Location (search) : Country (Full Name): : United States Job Description When Prime Video (PV) customers want to pick a show to watch, the personalization of the experience we present to them is a critical aspect of the discovery process. The Homepage Optimization team helps the customers to find videos or channels they will enjoy, we surface from our deep catalog content that will surprise and delight our customers visit after visit. We're seeking an Applied Scientist to help us push the limits of technology as we build personalized recommendations for customers. As an Applied Scientist in Prime Video, you will have the opportunity to apply a variety of machine learning algorithms including deep learning neural networks, and work on one of the world's largest data sets, to influence the long term evolution of our technology roadmap. We are looking for creative, customer and details obsessed machine learning scientists who can apply the latest research, state of the art algorithms and machine learning to build highly scalable recommendation and personalization systems as well as tackle content classification problems. You'll have a chance to collaborate with talented teams of engineers and scientists to run these predictions on distributed systems at incredible scale and speed. Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Basic Qualifications PhD in Computer Science, Machine Learning, Applied statistics or a Related field Track record of solving ambiguous and complex technical problems. Ability to invent ways to measure qualitative ideas in quantitative ways. Algorithm and model development experience for large-scale applications; Experience using Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language; Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives Strong critical thinking and attention to detail Strong interpersonal and communication skills. Must be able to explain technical concepts and analyses implications clearly to a wide audience, and be able to translate business objectives into actionable analyses 3+ years professional experience in Analytics or other quantitative disciplines Preferred Qualifications Significant peer reviewed scientific contributions in relevant field. Extensive experience applying theoretical models in an applied environment. Experience in a broad set of ML approaches and techniques. Strong Experience in Structured Prediction and Dimensionality Reduction. Expert in more than one more major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar). Proven track record of production achievements in language, search and personalization. Strong fundamentals in problem solving, algorithm design and complexity analysis. Strong personal interest in learning, researching, and creating new technologies with high commercial impact. Experience with defining organizational research and development practices in an industry setting. Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation