Applied Scientist II, Sponsored Products and Brands Agent
Seattle, WA - USA
Job Summary
Key job responsibilities
- Design and implement machine learning models and algorithms that power advertiser-facing AI experiences ensuring scientific rigor from research through production deployment.
- Conduct applied research to extend or invent new approaches for complex advertising problems where no textbook solutions exist working backwards from advertiser needs.
- Collaborate with engineering product and science teams to integrate your solutions directly into large-scale production systems serving millions of advertisers.
- Analyze experimental results and system performance to identify improvement opportunities making informed tradeoffs between model complexity latency and business impact.
- Mentor other scientists provide peer feedback on research procedures and results and contribute to the teams scientific roadmap and technical direction.
A day in the life
You start your morning reviewing experiment results from a model you recently launched checking metrics and identifying areas for iteration. By mid-morning youre whiteboarding a new approach with fellow scientists and engineers debating tradeoffs between model architectures. After lunch you write and test code for a prototype then join a design review where you share your findings and gather feedback. You wrap up by drafting a short document outlining next steps for a research proposal you plan to share with the broader team.
About the team
Our team within Amazon Ads builds AI-powered systems that help advertisers succeed at scale. We develop personalized context-aware guidance tools grounded in large language models and advanced reasoning frameworks connecting advertisers with actionable insights across multiple surfaces. Our mission is to make advertising simpler and more effective for businesses of all sizes. We value scientific creativity collaborative problem-solving and shipping real solutions that reach millions of advertisers worldwide.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience building machine learning models or developing algorithms for business application
- Knowledge of architectural concepts and algorithms schedule tradeoffs and new opportunities with technical team members
- Experience in designing experiments and statistical analysis of results
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 Companys 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 for more information. If the country/region youre applying in isnt 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 WA SEATTLE - 142800.00 - 193200.00 USD annually
Required Experience:
Unclear Seniority
About Company
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