Sr. Applied Science Manager, Amazon Sponsored Products

Are you interested in computational advertising and sponsored recommendations Do you thrive in a fast-paced organization with a significant impact on hundreds of millions of customers Do you love to innovate at the intersection of customer experience deep learning and high-scale machine-learning systems If so Amazon Sponsored Products could be the right place for you.

The Amazon Sponsored Products (SP) Off-Search team is focused on building delightful ad experiences across various surfaces on Amazon such as product detail pages homepage store-in-store pages to drive monetization. Our vision is to deliver highly personalized context-aware advertising that adapts to individual shopper preferences scales across diverse page types stays 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 Stores stakeholders to lead the expansion and growth of SP 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.


Key job responsibilities
We are seeking an Applied Science Manager to drive transformative innovation in ads allocation marketplace intelligence whole-page relevance to rethink how ads contribute to a personalized relevant and inspirational shopping experience with the customer value proposition at the forefront. You will reimagine ads allocation mechanisms to holistically consider business drivers and shopper needs. This involves developing new auction functions that consider ad relevance order product sales ads revenue cost-to-serve and advertiser demand while remaining sensitive to seasonality holidays and bespoke shopping experiences (e.g. premium or grocery shopping). You will lead the team to entail the design and testing of models and simulations estimate how different auction parameters perform under varying shopper cohorts (e.g. first-time versus repeat shoppers) product categories seller types (e.g. vendors versus sellers) and regional demand profiles setting the foundation for adaptive dynamic auction strategies that maximize value for both shoppers and advertisers. You will lead exciting frontiers where GenAI can play a pivotal role in shaping future allocation decisions.

As a senior leader you 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. You 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 you will grow talents fostering a culture of excellence and continuous learning to enhance the organizations ability to solve complex problems in advertising science.


* M.S. in Computer Science Information Retrieval Machine Learning Natural Language Processing Statistics Mathematics or related discipline
* Experience in managing a team of both applied scientists and engineers as a tech lead or manager for at least 2 years
* Experience in building large-scale machine learning and AI solutions at Internet scale for at least 3 years

* Ph.D. in Computer Science Information Retrieval Machine Learning Natural Language Processing Statistics Mathematics or related discipline
* Experience in building large-scale machine-learning models and infra for online recommendation ads ranking personalization or search etc.
* Excellent oral and written communication skills with the ability to communicate complex technical concepts and solutions to all levels of the organization
* Experience in computational advertising

Amazon 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 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 $196900/year in our lowest geographic market up to $340300/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.