Principal Applied Scientist, Sponsored Products and Brands

Amazon; San Francisco (CA); On-site; USD 218,800 - 295,900; Full time

Benefits offered by this job

Comprehensive health insurance

401(k) matching

Paid time off

Parental leave

Job summary

A global technology company is seeking a Principal Applied Scientist to lead the development of generative AI solutions for ad allocation and ranking. You will design innovative architectures to optimize ad placements while ensuring efficiency. The role requires a PhD and over 8 years of experience in machine learning, particularly in large-scale applications. Join a team that values research and empowers you to transform how ads connect with customer behavior.

Qualifications

• 8+ years of experience applying machine learning to solve complex problems.
• Experience with large-scale applications and generative AI architectures.

Responsibilities

• Design and develop generative AI architectures for ad allocation.
• Lead research initiatives using large language models.
• Collaborate with cross-functional teams to integrate GenAI solutions.

Skills

Machine learning

Generative AI

Statistical modeling techniques

Leadership

Problem definition

Education

PhD in Computer Science, Applied Mathematics, or Statistics

Job description

Principal Applied Scientist, Sponsored Products and Brands

Job ID: 3206544 | Amazon.com Services LLC

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.

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

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 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 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.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, NY, New York - 218,800.00 - 295,900.00 USD annually
USA, WA, Seattle - 198,900.00 - 269,000.00 USD annually

Posted: March 19, 2026 (Updated about 5 hours ago)