Principal Applied Scientist, Sponsored Products Marketplace Intelligence
DESCRIPTION
Amazon's advertising business has grown exponentially over the past years, helping connect sellers and vendors to shoppers who may be interested in their products. Our ad products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products that leverage state of the art AI technologies.
The Sponsored Products Marketplace Intelligence team is seeking a Principal Applied Scientist to lead the development and implementation of generative AI solutions for ad allocation and ranking on Amazon search pages. This role will be instrumental in revolutionizing how we match ads with customer intent and shopping behavior.
Job Responsibilities:
* Design and develop novel generative AI architectures for real-time ad allocation, focusing on both efficiency and effectiveness at massive scale
* Lead research initiatives in applying large language models and multimodal AI to understand deep semantic relationships between ads, queries, and user behavior
* Create innovative approaches to leverage GenAI for dynamic ad placement optimization while maintaining strict latency requirements
* Collaborate with cross-functional teams to integrate GenAI solutions into existing advertising systems
* Author research papers and technical documentation, contributing to the broader scientific community
Why you'll love this opportunity:
Sponsored Products (SP) is Amazon's largest and fastest growing advertising business. This role offers the unique opportunity to apply state-of-the-art GenAI technologies to transform how we allocate ads across Amazon's marketplace. You'll work on challenging technical problems at unprecedented scale, with direct impact on both customer experience and advertising effectiveness. The potential to innovate in this space is enormous, as we're just beginning to scratch the surface of what's possible with generative AI in digital advertising.
BASIC QUALIFICATIONS
- PhD in Computer Science, Applied Mathematics, Statistics or a closely related field of study.
- 8+ years of experience applying ML to solve complex problems for large-scale applications.
PREFERRED QUALIFICATIONS
- Ability to translate informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.
- Demonstrated leadership abilities, especially with cross-disciplinary efforts.
- Hands on experience building machine learning models - from theoretical and application to real-world-problems perspectives.
- Deep knowledge of statistical modeling techniques, scientific thinking, and the ability to apply these skills to real-world applications.
- Deep business and technical vision.
- Prior experience in online advertising or search ranking
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 $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 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.