Principal Applied Scientist, Sponsored Products and Brands Off-Search

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies revolutionizing how millions of customers discover products and engage with brands across 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 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 non-search 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 non-search 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 best-in-class algorithms methodologies and infrastructure that enable rapid experimentation and scaling. They will establish a long-term vision for continued scientific innovation setting strategic goals to future-proof 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 Off-Search 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 store-in-store pagesto drive monetization. Our vision is to deliver highly personalized context-aware advertising that adapts to individual shopper preferences scales across diverse page types remains relevant to seasonal and event-driven moments and integrates seamlessly with organic recommendations such as new arrivals basket-building content and fast-delivery options. To execute this vision we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stackfrom backend ads-retail edge services ads retrieval and ad auctions to shopper-facing experiencesall designed to deliver meaningful value.

- 5 years of hands-on 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

- 10 years of relevant work in industry or academia experience
- Knowledge of problem solving algorithm design and complexity analysis
- Experience creating novel algorithms and advancing the state of the art
- Have peer-reviewed 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 $179000/year in our lowest geographic market up to $309400/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.