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 Creative Optimization team is learning the underlying concepts in broad categories like “comedy” that are at the heart of a customer's viewing preference. We take those learnings and use Computer Vision to infer meaning in our creative assets and present the most applicable piece of content to a customer.

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

· MS in Computer Science, Machine Learning, Applied statistics or a Related field
· Track record of solving ambiguous and complex technical problems.
· Algorithm and model development experience for large-scale applications;
· Expert in more than one more major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar)