Amazon Ads Seeks Senior Scientist for AI-Driven Media Planning and Ad Measurement
Amazon Ads is hiring a Senior Applied Scientist to develop AI-driven media planning and ad measurement solutions. The role focuses on leveraging machine learning and Generative AI to optimize ad spend strategies for advertisers.
Key Takeaways
- The role is for a Senior Applied Scientist specializing in Measurement and Ad Tech within the Amazon Ads team.
- Key responsibilities include creating scalable media planning solutions and innovating with Generative AI and advanced machine learning.
- The position requires a minimum of three years of practical machine learning experience, strong programming skills, and familiarity with deep learning and ML modeling tools.
Why It Matters
Amazon Ads' investment in a senior AI role for media planning indicates increasing sophistication in ad measurement and optimization within streaming environments. This move suggests a broader industry trend towards AI-driven solutions to improve advertiser ROI and streamline campaign management. Watch for subsequent product announcements that integrate these advanced AI capabilities into Amazon's ad offerings, potentially setting new benchmarks for personalization and effectiveness in streaming advertising.
Additional Context
Amazon Ads has been consistently rolling out new AI-driven capabilities to enhance its advertising platform. In May 2026, Amazon Ads introduced Dynamic TV Creative for Prime Video, using shopping, browsing, and streaming signals with AI to personalize interactive video ads at the impression level (per Amazon Ads, May 2026). This allows for dynamic adjustments to calls-to-action, headlines, and product details based on the viewer’s purchase journey. Concurrently, Amazon Ads expanded its Brand+ and Performance+ capabilities. This includes new features such as Audio for Brand+ to extend reach into screen-free environments, and Video Generator improvements that use AI to create video ads from ASINs in minutes (per Amazon Ads, April 2026). Additionally, AI-powered Sponsored Brands collections were launched, enabling automatic curation of relevant product groupings for shoppers (per Amazon Ads, May 2026). These developments align with Amazon Ads' broader strategy to leverage AI for simplified ad creation, optimized campaign performance, and expanded audience reach, as seen in the general availability of key APIs for benchmarks, Marketing Mix Modeling (MMM), and Geographic Insights and Activation (GIA) between May 1 and May 18, 2026 (per PPC Land, May 2026). These API advancements provide advertisers programmatic access to competitive benchmarks, geographic intelligence, and retail attribution signals, enabling more robust measurement and targeting.
Read full article at bebee.com
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