Description

　　Prime Video is building the future of TV for customers in over 200 countries to enjoy an endless selection of movies, shows and sports on their TV, mobile devices and desktop. We deliver high-quality video to Amazon customers through subscriptions (Amazon Prime, and Channels) as well as purchases, rentals, and free with ads.

　　Prime Video Content & Partner Lifecycle (CPL) provides the largest, most accurate, and accessible content library for our customers as we create the world's most-loved entertainment destination. Our mission is to create and publish content on-time that's meaningful, accurate, and accessible to every customer. We build and advocate for every content partner to make us the preferred entertainment destination. We delight our customers by leveraging our deep understanding of them to push the boundaries of content understanding and enrichment. We tailor and localize Prime Video for a diverse and global audience so customers world-wide with different tastes and backgrounds can find something to watch and enjoy on every visit. We believe the current customer experience is only scratching the surface of innovative experiences that are made possible as viewing continues to shift online, and that science is at the center of delivering a step-function change for our CX.

　　Key job responsibilities

　　As a Senior Principal Scientist on the Prime Video CPL team, you will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will have deep technical expertise in NLP techniques to be used for both content understanding and localization. You will lead ground-breaking research and provide thought leadership to scientists and engineers to invent and implement Generative AI solutions in Prime Video Localization and Studio Technology. You will develop solutions that can also be leveraged by Prime Video partner teams (Personalization, Discovery & Search, Marketing & Advertising, IMDB etc.) and Content Providers including major studios. You will represent Prime Video at internal and external science conferences, and work closely with peers in Retail, Music and AWS to advance state of the art research and science application for Machine Learning and AI, and work with our academic partners to support our in-house talent with direct access to cutting edge research and mentoring.

　　We consider our position as a once-in-a-lifetime opportunity to shape the future of TV for billions of viewers worldwide. We know our future success is inextricably tied to being a center of excellence in machine learning science and we invest in it—we are early adopters of cutting-edge tech and publish papers both internally within Amazon and externally to conferences. This role offers applied science at its best— Generative AI at scale based on rich Amazon datasets, advancing the future of recommendations science, massive customer experience impact in shaping the future of online TV, and clear impact to business KPIs.

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

　　Los Angeles, CA, USA | Seattle, WA, USA

　　Basic Qualifications

　　• PhD in Computer Science/Math or a related field.

　　• 15+ years’ industry/academic experience in building machine learning models.

　　• Experience building complex, real-time systems involving Computational Linguistics including NLP techniques such as NLU, NLG, multilingual multilabel classifiers, clustering, machine translation and information retrieval.

　　• Strong familiarity with Gen AI for foundational models and Large Language Models.

　　• Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art applied science.

　　Preferred Qualifications

　　• Media (Audio and Video) localization experience using a combination of traditional content synthesis and Gen AI techniques.

　　• Computer Science fundamentals in Computer Vision and DL across modeling, data structures, algorithm design and complexity analysis.

　　• The ability to Think Big, Dive Deep and Learn & Be Curious in order to provide strategic direction to the Prime Video Content and Studio Technology teams.

　　• The leadership and interpersonal skills necessary to excel in influence-based roles, with or without direct authority, while working closely with internal and external partners in leading science efforts to meet aggressive timelines with optimal solutions.

　　• A 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.

　　• 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.

　　Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

　　Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $240,100/year in our lowest geographic market up to $350,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.