Amazon Sr Manager Applied Science Prime Video Personalization 

United States, California, Sunnyvale 

858842701

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.Key job responsibilities

* M.S. in Computer Science, Machine Learning, or a related field.
* 10+ years experience in recommendation, search, natural language processing, machine learning, or a related field.
* Proven track record of leading and managing science and engineering teams in building complex, real-time systems involving AI, ML, NLP with successful delivery to customers.
* Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch
* Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet timelines with optimal solutions.
* Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.

* Ph.D. in Computer Science, Machine Learning, or a related field.
* 15+ years experience in recommendation, search, natural language processing, machine learning, or a related field.
* Demonstrated ability to push the envelope in at least one machine learning domain (e.g. deep learning, NLP, reinforcement learning)
* Expertise in large language models or demonstrated ability to develop this expertise quickly.
* Work with academic partners to support our in-house talent with direct access to research and mentoring.
* Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience.