[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 · Palo Alto, CA # Senior Applied Scientist, Sponsored Products and Brands Ads Response Prediction US, CA, Palo Alto Senior individual contributor Research & Science Listed on Amazon’s official careers site. Posted September 16, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10547666/senior-applied-scientist-sponsored-products-and-brands-ads-response-prediction) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Senior Applied Scientist, Sponsored Products and Brands Ads Response Prediction ## Job description ### About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, 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 As a Machine Learning Applied Scientist, you will: * Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities * Develop scalable and effective machine-learning models and optimization strategies to solve business problems * Run regular A/B experiments, gather data, and perform statistical analysis * Work closely with software engineers to deliver end-to-end solutions into production * Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving * Conduct research on new machine-learning modeling and Generative AI solutions to optimize all aspects of Sponsored Products and Brands business ### About the team The Ad Response Prediction team within Sponsored Products and Brands (SPB) drives personalized shopping experiences for SPB Ads across placements, pages, and devices worldwide. We achieve this through ML and GenAI solutions that include customized shopper response prediction and session-level understanding to optimize every stage of the ad-serving process, from sourcing and bidding to widget discovery and auctions. Our responsibilities include advancing response prediction through model and feature innovations and extending prediction beyond the auction stage to areas such as targeting, sourcing, and bidding. ## At a glance - Posted by the employer: Sep 16, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 11, 2026 - Listed for: 25 days - Location: US, CA, Palo Alto[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10547666/senior-applied-scientist-sponsored-products-and-brands-ads-response-prediction) ## More jobs at Amazon ### [Principal Applied Scientist, Ads Optimization, Full Funnel Agentic Intelligence and Models](https://jobs.opennash.com/companies/amazon/jobs/1a16d0e4b7ff8047a749/) US, CA, Palo Alto ### [Senior Applied Scientist, Sponsored Products Bidding](https://jobs.opennash.com/companies/amazon/jobs/0f8da65f3525f203c3be/) US, CA, Palo Alto ### [Machine Learning Engineer, Amazon Ads Identity](https://jobs.opennash.com/companies/amazon/jobs/1bd949a43f9e6cc4698f/) US, CA, Palo Alto ### [Principal PMT, APM Insights](https://jobs.opennash.com/companies/amazon/jobs/3128f32f121a390c57b5/) US, CA, Palo Alto ### [Principal Product Manager - Tech, Sponsored Products and Brands](https://jobs.opennash.com/companies/amazon/jobs/f0731f8baca06fafc7da/) US, CA, Palo Alto ## 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 Palo Alto, CA](/locations/us/ca/palo-alto/)[Jobs in California](/locations/us-ca/)[Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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