Applied Scientist, Prime Video Sports Personalization

Applied Scientist, Prime Video Sports PersonalizationJob ID: ******* | Amazon Development Center (Tel Aviv)Come build the future of entertainment with us.Are you interested in helping shape the future of movies and television?Do you want to help define the next generation of how and what Amazon customers are watching?Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place.We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events.We also offer our members the opportunity to subscribe to add-on channels which they can cancel at any time and to rent or buy new release movies and TV box sets on the Prime Video Store.Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide.The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do.If this sounds exciting to you, please read on.Key job responsibilitiesWe are looking for an Applied Scientist with domain expertise in Personalization, Information Retrieval, and Recommender Systems, or general ML to develop new algorithms and end-to-end solutions.As part of our team of applied scientists and software development engineers, you will be responsible for researching, designing, developing, and deploying algorithms into production pipelines.Your role will involve working with cutting-edge technologies in recommender systems and search.You'll also tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations.As a technologist, you will drive the publication of original work in top-tier conferences in Machine Learning and Recommender Systems.We expect you to thrive in ambiguous situations, demonstrating outstanding analytical abilities and comfort in collaborating with cross-functional teams and systems.The ideal candidate is a self-starter with the ability to learn and adapt quickly in our fast-paced environment.About the teamWe are the Prime Video Sports team.In September **** Prime Video launched its first full-scale live streaming experience to world-wide Prime customers with NFL Thursday Night Football.That was just the start.Now Amazon has exclusive broadcasting rights to major leagues like NFL Thursday Night Football, Tennis majors like Roland-Garros and English Premier League to list a few and are broadcasting live events across 30+ sports world-wide.Prime Video is expanding not just the breadth of live content that it offers, but the depth of the experience.This is a transformative opportunity, the chance to be at the vanguard of a program that will revolutionize Prime Video, and the live streaming experience of customers everywhere.Basic QualificationsExperience building machine learning models or developing algorithms for business applicationPhD, or a Master's degree and experience in CS, CE, ML or related field researchExperience programming in Java, C++, Python or related languageExperience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPreferred QualificationsExperience in patents or publications at top-tier peer-reviewed conferences or journalsExperience creating novel algorithms and advancing the state of the artSignificant peer-reviewed scientific contributions in premier journals and conferencesExperience in building production grade deep learning models for Information Retrieval, recommendation systems, or related fieldsExperience with defining research and development practices in an applied environmentSolid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.)Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the fieldTechnical writing, verbal communication, and cross discipline collaboration skillsOur inclusive culture empowers Amazonians to deliver the best results for our customers.If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.If the country/region you're applying in isn't listed, please contact your Recruiting Partner.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.#J-*****-Ljbffr