Sr Applied Scientist, Sponsored Products And Brands

Sr Applied Scientist, Sponsored Products and BrandsJob ID: ******* | Amazon.com Services LLCThe Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through cutting-edge generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond.We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace.If you\'re energized by solving complex challenges and pushing the boundaries of what\'s possible with AI, join us in shaping the future of advertising.ResponsibilitiesCollaborate with business, engineering and science leaders to establish science optimization and monetization roadmap for Amazon Retail Ad ServiceDrive alignment across organizations for science, engineering and product strategy to achieve business goalsLead/guide scientists and engineers across teams to develop, test, launch and improve science models designed to optimize the shopper experience and deliver long term value for Amazon advertisers and third party retailersDevelop state of the art experimental approaches and ML models to keep up with our growing needs and diverse set of customersParticipate in the science hiring process as well as mentor other scientists, improving their skills and ability to execute on solutionsAbout the teamAmazon Retail Ad Service within Sponsored Products and Brands is an ad-tech solution that enables retailers to monetize their online web and app traffic by displaying contextually relevant sponsored products ads.Our mission is to provide retailers with ad-solution for every type of supply to meet their advertising goals while enabling advertisers to manage demand across multiple supplies (Amazon, offsite, third-party retailers) leveraging tools they are already familiar with.Our problem space is challenging and exciting due to different traffic patterns, varying product catalogs, retailer industries and shopper behaviors.Basic QualificationsPhD, or Master\'s degree and 6+ years of applied research experience3+ years of building machine learning models for business applicationsExperience programming in Java, C++, Python or related languageExperience with neural deep learning methods and machine learningMaster\'s degree, or PhD and experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NFPreferred QualificationsExperience with modeling tools such as R, scikit-learn, Spark MLLib, MXNet, TensorFlow, NumPy, SciPyExperience with large-scale distributed systems such as Hadoop, SparkExperience in auctions or mechanism designExperience with large-scale machine learning systems including profiling, debugging and understanding of system performance and scalabilityAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our 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.Salary, Benefits and LocationThe base salary range for this position is listed below.Your Amazon package will include sign-on payments and restricted stock units (RSUs).Final compensation will be determined based on factors including experience, qualifications, and location.Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave.Learn more about our benefits at .Location: USA, NY, New YorkPosted dates are for reference and indicate when the job was listed.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