Job Directory Amazon Applied Scientist - Prime Video Efficiency Platform
Amazon

Applied Scientist - Prime Video Efficiency Platform Amazon
Seattle, WA

Amazon is a company operating a marketplace for consumers, sellers, and content creators.

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About Amazon

Job Description

Would you like to shape the future of the video entertainment industry for movies, TV and live sports events? Does solving complex problems within large scale systems excite you? If you answered yes, we have an opportunity for you!

Prime Video is disrupting the traditional television and movie industry with a growing library of high-quality media. Prime Video launched in 2007 and has quickly become a strategic priority for the company, reflected in the service's recent expansion into over 240 countries and territories worldwide. Amazon invests in acquiring, producing and programming TV shows, movies and live events including must-see exclusive series like The Grand Tour, The Marvelous Mrs. Maisel, American Gods, The Man in the High Castle, UFC, Thursday Night Football and more.

To help a growing organization quickly deliver more efficient features to Prime Video customers, Prime Video's Operational Excellence organization is innovating on behalf of our global software development team consisting of thousands of engineers. The Operational Excellence organization is building a team specialized in forecasting and recommendations. This team will apply supervised learning algorithms for forecasting multi-dimensional related time series using recurrent neural networks. The team will develop forecasts on key business dimensions and recommendations on performance and efficiency opportunities across our global software environment.

As a founding member of the core team, you will apply your deep knowledge of machine learning to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on retrieving, cleansing and preparing large scale datasets, training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with complete independence and are often assigned to focus on areas where the business and/or architectural strategy has not yet been defined. You must be equally comfortable digging in to business requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions.

You will work with internal and external stakeholders, cross-functional partners, and end-users around the world at all levels. Our team makes a big impact because nothing is more important to us than pleasing our customers, continually earning their trust, and thinking long term. You are empowered to bring new technologies and deep learning algorithms to your solutions. If you crave a sense of ownership, this is the place to be.

We embrace the challenges of a fast paced market and evolving technologies, paving the way to universal availability of content and pushing the envelope of streaming video quality. You will be encouraged to see the big picture, be innovative, and positively impact millions of customers. This is a young and evolving business where creativity and drive will have a lasting impact on the way video is enjoyed worldwide.

About Amazon

Amazon is a company operating a marketplace for consumers, sellers, and content creators.

Headquarters
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876800 employees
Amazon

410 Terry Ave N

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