Sr. Principal Applied Scientist, Advertising Full Funnel Agentic Intelligence

Description

This is a Sr. Principal Applied Scientist role within the Advertising Full Funnel Agentic Intelligence and Models team, designed to drive foundational model innovation for Amazon Ads. The team is building next-generation agentic AI systems for advertising. This hire will serve as a key technical leader bringing rare low-level model development expertise to Amazon Ads. This is a high-visibility, high-impact role requiring deep expertise in multimodal foundation models, model architectures, and training methodologies at scale.

Key job responsibilities

• Define long-term scientific vision for advertising technologies, translating complex customer needs into strategic roadmaps

• Design and implement innovative machine learning and generative AI solutions across multiple advertising product domains

• Mentor and develop scientific talent, fostering a culture of excellence and continuous innovation

• Collaborate with senior leadership to influence technical direction and strategic decision-making

• Establish partnerships with academic institutions to drive cutting-edge research and talent development

Basic Qualifications

• Doctoral degree in Computer Science, Machine Learning, Artificial Intelligence, or related technical discipline

• Extensive expertise in machine learning, generative AI, and large language model technologies

• Proven track record of translating advanced research into production-ready solutions

• Strong publication record in peer-reviewed conferences and journals

• Demonstrated ability to communicate complex technical concepts to diverse audiences

Preferred Qualifications

• Experience in advertising technology, recommendation systems, or e-commerce platforms

• Expertise in multi-modal AI systems and advanced natural language processing

• Background in developing scalable machine learning infrastructure

• Experience leading cross-functional scientific research initiatives

• Demonstrated ability to mentor and develop scientific talent

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 (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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
• parental leave

Learn more about our benefits at  .

USA, CA, Palo Alto -  -  USD annually

USA, WA, SEATTLE -  -  USD annually