Principal Applied Scientist, Sponsored Products and Brands
Amazon (AI roles) · Seattle, Washington, USA
No salary listed. Estimated from 344 salary-disclosed Research roles on this board: $225K–$340K (interquartile range; estimate, not the employer's figure).
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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 and Brands 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.
Key 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 - 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.
The Sponsored Products and Brands 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.
Key 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 - 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.
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