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Description

The Sponsored Products and Brands (SPB) team at Amazon Ads is reimagining the advertising landscape through generative AI, revolutionizing how millions of customers discover products and engage with brands on Amazon and beyond. We are at the forefront of redefining advertising experiences—bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle, from ad creation and optimization to performance measurement and customer insights.

We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance advertiser needs, enhance the shopping experience, and strengthen the Amazon marketplace. If you are energized by solving complex challenges and pushing the boundaries of what’s possible with AI, join us in shaping the future of advertising.

Key job responsibilities

As a Sr. Applied Science Manager, you will:

* Lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers.

* Define and deliver the science and engineering roadmap for shopping session understanding, translating business goals into agentic strategies and driving integration of Session Agent capabilities into advertising applications.

* Hire and develop top talent, providing technical direction and career growth guidance to scientists and engineers within and across organizations.

* Stay current on research advances, industry trends, and system architectures relevant to agentic AI and session understanding for SPB’s advertising business.

About the team

The Ad Response Prediction (ARP) team within Sponsored Products and Brands (SPB) powers personalized shopping experiences for SPB ads across placements, pages, and devices worldwide. We build deep learning (DL) and generative AI (GenAI) solutions to predict shopper responses and derive session understanding, enabling optimization across every stage of the ad serving process—from sourcing and bidding to widget discovery and auctions.

We are seeking a Senior Applied Science Manager with a strong background in machine learning and advertising to advance shopping session understanding and integrate it into Amazon’s advertising systems. The ideal candidate has experience leading both scientists and engineers and is passionate about applying advanced GenAI technologies to transform the advertising experience.

Basic Qualifications

* 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 3 years

* Experience in building large-scale machine learning and AI solutions at Internet scale for at least 3 years

Preferred Qualifications

* 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.

* Experience developing and deploying Agentic AI or Generative AI (GenAI) solutions

* 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.

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 Company’s 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 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.