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Applied Science Manager, Prime Video Prime Video

Seattle, WA, United States

Key job responsibilities

This role is for an experienced Science leader. The ideal candidate will apply state of art natural language processing and computer vision research to video centric digital media and will be responsible for creating a strong environment for applied science in order to recruit, retain and develop top talent. The candidate will lead a team of applied scientist and lead the research direction, create roadmaps for forward-looking research and communicate them to senior leadership. The person will hire and develop the applied scientist and grow the science team to meet the always increasing needs of our customers.

About the team

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.

We are open to hiring candidates to work out of one of the following locations:

BASIC QUALIFICATIONS

– 4+ years of applied research experience

– 3+ years of scientists or machine learning engineers management experience

– 3+ years of building machine learning models for business application experience

– PhD, or Master’s degree and 6+ years of applied research experience

– Knowledge of ML, NLP, Information Retrieval and Analytics

– Experience programming in Java, C++, Python or related language

PREFERRED QUALIFICATIONS

– Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

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