Machine Learning Scientist - Prime Video Homepage Optimization

Job description

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

Desired profile

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