[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · Seattle, WA # Applied Scientist II, Sponsored Products and Brands Agent US, WA, Seattle Research & Science Listed on Amazon’s official careers site. Posted September 21, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10554763/applied-scientist-ii-sponsored-products-and-brands-agent) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Applied Scientist II, Sponsored Products and Brands Agent ## Job description The Sponsored Products and Brands team at Amazon Ads is re-imagining advertising through generative AI technologies, transforming how millions of customers discover products and engage with brands across Amazon.com and beyond. We are bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle, from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. ### 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 team's 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 you're 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. ## At a glance - Posted by the employer: Sep 21, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 11, 2026 - Listed for: 20 days - Location: US, WA, Seattle[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10554763/applied-scientist-ii-sponsored-products-and-brands-agent) ## More jobs at Amazon ### [2027 Research Science Internship - United States, PhD Student Science Recruiting](https://jobs.opennash.com/companies/amazon/jobs/c6b2426e856700039aad/) US, WA, Seattle ### [Applied Scientist](https://jobs.opennash.com/companies/amazon/jobs/f0aed8e58d7b1e914fe3/) US, WA, Seattle ### [Applied Scientist, Customer Experience and Business Trends](https://jobs.opennash.com/companies/amazon/jobs/a059390fa595724def2b/) US, WA, Seattle ### [Applied Scientist, Prime Video Personalization and Discovery, Prime Video Personalization & Discovery](https://jobs.opennash.com/companies/amazon/jobs/69664ee35787aa2881d3/) US, WA, Seattle ### [Applied Scientist - GenAI, Trust and Store Integrity Science](https://jobs.opennash.com/companies/amazon/jobs/c1fe2d5f38edbb3047c2/) US, WA, Seattle ## Similar jobs at other companies ### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/) Oracle · United States ### [Asset & Wealth Management - Product Manager, Applied AI & Data Products - Vice President](https://jobs.opennash.com/companies/jpmorganchase/jobs/09ea1aaab3979d07444d/) JPMorganChase · Jersey City, NJ, United States ### [Applied Scientist II](https://jobs.opennash.com/companies/microsoft/jobs/1932503c468419f688ab/) Microsoft · United States, Washington, Redmond ### [Principal Applied Scientist](https://jobs.opennash.com/companies/microsoft/jobs/6887d8f40d7a9e34526e/) Microsoft · United States, Washington, Redmond ### [Principal, Data Scientist - Applied Machine Learning](https://jobs.opennash.com/companies/walmart/jobs/8af78490b17976e76747/) Walmart · United States [Jobs in Seattle, WA](/locations/us/wa/seattle/)[Jobs in Washington](/locations/us-wa/)[Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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