Principal Applied Scientist, Sponsored Products and Brands Off-Search

Description The Sponsored Products and Brands (SPB) team at Amazon Ads is reimagining the advertising landscape through stateoftheart 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 reinventing 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 youre energized by solving complex challenges and pushing the boundaries of whats possible with AI, join us in shaping the future of advertising. Key job responsibilities The Principal Applied Scientist will drive transformative innovation in Sponsored Products and Brands (SPB) auction design across nonsearch surfaces, including product detail pages, the home page, and specialty stores. This role will be pivotal in rethinking how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. The key responsibilities include but are not limited to: Improving Auction Mechanism: The Principal Scientist will reimagine auction mechanisms to holistically optimize business drivers, shopper needs, and ad placement across nonsearch pages. This involves developing new auction functions through both offline simulation and online testing that consider ad relevance, ads revenue, and advertiser demand, while remaining sensitive to seasonality and bespoke shopping experiences. Moreover, they will also design, prototype and iterate models that continually improve efficiency and effectiveness of ad inventory allocation with the objective of maximizing value delivered for both shoppers and advertisers, while consistently delivering a clear customer value proposition. Advancing Scientific and Technical Capabilities: As a senior leader, the Principal Scientist will play a critical role in elevating the teams scientific and technical rigor, identifying and implementing bestinclass algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. They will establish a longterm vision for continued scientific innovation, setting strategic goals to futureproof the organizations technical stacks and ML/LLM frameworks to support new and emerging business objectives. Additionally, the scientist will mentor and guide junior scientists and engineers, fostering a culture of excellence and continuous learning to enhance the organizations ability to solve complex problems in advertising science. Through his/her work, the Principal Applied Scientist will directly impact key business metrics by improving ad relevance and auction efficiency, ultimately contributing to revenue growth, improved customer satisfaction, and differentiated shopper experiences. About the team The OffSearch team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazonsuch as product detail pages, the homepage, and storeinstore pagesto drive monetization. Our vision is to deliver highly personalized, contextaware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and eventdriven moments, and integrates seamlessly with organic recommendations such as new arrivals, basketbuilding content, and fastdelivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazonowned andoperated pages beyond Search. We operate full stackfrom backend adsretail edge services, ads retrieval, and ad auctions to shopperfacing experiencesall designed to deliver meaningful value. Basic Qualifications 5+ years of handson work in predictive modeling and analysis experience PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field Experience working in predictive modeling and analysis Experience programming in Java, C++, Python or related language Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment Preferred Qualifications 10+ years of relevant work in industry or academia experience Knowledge of problem solving, algorithm design and complexity analysisExperience creating novel algorithms and advancing the state of the art Have peerreviewed scientific contributions in premier journals and conferences Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 youre applying in isnt 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 $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, signon 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 . This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr