Amazon is hiring : Principal Applied Scientist, Advertising General Intelligence

Description

This role will shape the future of advertising. You will be directly contributing to the development of Advertising General Intelligence. Reporting to the VP of Advertising, you will drive innovation in content understanding, policy automation, and GenAI and agentic applications while scaling our capabilities across Amazon's advertising ecosystem. You will drive scaled model development and deployment in a high availability and complex real time ecosystem.

This role is working on an Advertising specific Foundational Model and subsequent capabilities. In this role you will solve the hardest science problems facing the Ads business. You will drive innovation through a global organization spanning four continents and must influence across organizations, requiring strong leadership skills in managing distributed teams across time zones and cultures. You have the depth and breadth and domain expertise to provide industry leading science leadership / guidance to the most complex initiatives while also doing hands-on work on the hardest problems that accelerate the team.

To succeed in this role, your past work should exemplify resounding business impact at scale and represents industry-first inventions for customers. In your past roles, you lead the definition, design, architecture quality, implementation, and delivery of the most advanced, difficult, cross-cutting, and ambiguous scientific challenges spanning across an organization, ideally in the Ad Tech industry.

Key job responsibilities

Strategic Leadership

Define and execute the scientific and technical vision for AT's next generation of tools and capabilities.

Drive innovation in GenAI, LLMs, computer vision, and other emerging technologies.

Partner with senior leaders across Amazon Advertising to align on strategic initiatives.

Own the end-to-end delivery of AT's science roadmap.

Technical Innovation

Guide research directions in content understanding, policy automation, and trust & safety

Drive adoption of emerging technologies while ensuring operational excellence

Lead technical planning and resource allocation across teams

Partner with academia and research organizations to advance the state of the art

Represent AT's technical achievements across multiple venues"

Basic Qualifications

PhD in Computer Science, Statistics or related field.

6+ years of applied ML experience in deploying ML solutions to customer facing products.

LLM, MLLM, General Multi-Model Experience, or Significant Applied Reinforcement Learning Background

Preferred Qualifications

Experience in shipping large-scale deep learning models for online recommendation, personalization, or search.

Experience partnering with engineering teams to ensure deep learning solutions meet latency requirements.

Experience in building GenAI-based product strategy.

Evidence of producing internal or external publications that motivate new lines of research.

Excellent verbal and written communication.

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.

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.