Description Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of mobile devices. We improve campaign performance for all advertisers through improved creative personalization. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place. Key job responsibilities As a Senior Manager - Applied Science, you will be accelerating the evolution of science to personalize creatives to each shopper. You are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. Your expertise will be crucial in shaping strategy and addressing complex science problems while driving forward-thinking approaches. As a "hands-on" science leader, you will own defining the strategic science vision, have a long-term roadmap, establish the right science team structure, and lead your teams as they deliver production level models that execute on that vision. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, and align research focuses with the Amazon's strategic needs About the team Our team, CreativeX Optimization, empowers advertisers to personalize the visual experience of their ads in real time. We apply advanced machine learning and generative AI to help advertisers build, identify, and understand what ad creatives work with their audiences. We develop customized CTR and CVR prediction models to help advertisers efficiently connect with shoppers across the web. We utilize generative models to understand shopper preferences across text, images, and videos. We have a broad mandate to experiment and innovate, as we seek to leapfrog the competition and impact billions of impressions daily. Basic Qualifications • 10+ years of applied ML experience in deploying ML solutions to customer facing products • 3+ years hands-on experience leading multiple ML teams to design products that satisfy a customer need • PhD in Computer Science, Statistics or related field (or requisite relevant experience) Preferred Qualifications - Demonstrated track record of delivery for large, cross-functional projects with evolving requirements - Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audiences - Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead engineering efforts to meet tight timelines with optimal solutions 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. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $196,900/year in our lowest geographic market up to $340,300/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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.