Principal Applied Scientist, Sponsored Products and Brands

- PhD or MS in Computer Science, Statistics, or related field.
- 8+ years of applied ML experience in deploying AI solutions to customer facing products.
- Track record of delivering large-scale and high-quality AI solutions.
- Experience in appling AI to deliver on business goals.
- Experience shipping successful large-scale search or recommendation systems.
- Experience partnering with engineering teams to ensure AI solutions meet latency requirements.
- Experience in influencing product strategy across a line of business.
- Evidence of producing internal or external publications that motivate new lines of research.
- Excellent verbal and written communication skills.



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.

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, CA, Palo Alto - 228,700.00 - 309,400.00 USD annually
The Demand Utilization team within Amazon Advertising is responsible for determining which ads to serve when hundreds of millions of shoppers search for products on Amazon. We sit at the intersection of customer intent understanding and advertiser value, solving one of the most complex matching problems in the industry, identifying the right ad, for the right shopper, at the right moment, across one of the world's largest product catalogs. Our systems deliver billions of ad impressions and millions of clicks daily under strict relevance and latency constraints.

We are looking for a Principal Applied Scientist to set the technical vision and drive the science strategy for our ad retrieval and ranking systems. This is a high-impact leadership role where you will tackle unsolved problems at the frontier of large-scale information retrieval, natural language understanding, and multi-objective optimization, all operating in real time at Amazon scale.

You will work on challenges such as:
- Modeling shopper intent from sparse, ambiguous, and multi-modal signals
- Designing retrieval architectures that balance relevance, advertiser and shopper experience across billions of candidate ads
- Advancing personalization and cold-start strategies for new advertisers and emerging product categories

This is a role for a scientist who wants to shape the future of performance advertising through rigorous research applied to real-world systems that directly impact Amazon's customers, sellers, and business.



Key job responsibilities
Key Responsibilities:
- Own the science roadmap for ad retrieval and ranking within Demand Utilization, defining multi-year research priorities aligned with business goals
- Lead the design and development of novel machine learning models and algorithms for relevance, intent understanding, and ad selection at scale
- Drive end-to-end execution from problem formulation and experimentation through production deployment, measuring impact on shopper and advertiser outcomes
- Mentor and elevate a team of applied scientists and research engineers, raising the technical bar and fostering a culture of scientific rigor
- Collaborate cross-functionally with product, engineering, and business leaders to translate science capabilities into product strategy
- Represent Amazon externally through publications at top-tier venues, patents, and participation in the broader ML/IR research community