Google is recruiting a team to generate and recommend AI-created content inside Discover, according to job listings on its careers site that were first spotted by Damien Andell and shared on X. A Staff ML Engineer posting says the Discover Feed Recommendation team "leads by recommending AI-generated content (AIGC) to fulfill user interests."

A separate director-level design listing describes the ambition in plainer terms: turning Discover into a "proactive, hyper-personalized concierge experience."

What do the engineering roles involve?

The Staff ML Engineer role spans quality control, topic discovery and content understanding for the team's AI-generated output. The hire will build agentic flows that generate content for what the listing calls proactive surfaces — Discover and Notifications are named directly. Responsibilities include:

• Checks for factuality, freshness, coherence and tone
• Feedback loops to find and deliver engaging stories globally
• Scaling AI-generated content across major Google surfaces

A Senior Staff ML Software Engineer listing for AI-generated content quality in the Discover feed describes similar work at a more senior level.

What does the design role pay?

The Principal UX listing — the senior design role for Discover — sits at Google's Director+ level, based in Mountain View or New York. It carries a U.S. base salary of $275,000 to $382,000, plus a bonus target and equity.

The listing says the concierge experience would help people make progress on their goals and help users move "from inspiration to action." The hire would work with teams at YouTube, Shopping, Chrome and Android, and would scale AI-enabled formats in the feed.

One line will matter to publishers: the listing asks the hire to balance AI capabilities "while keeping human voices and sources at the center." It also lists experience building value exchanges with creators and publishers as a preferred qualification.

How does this fit Discover today?

The groundwork is already visible. Google launched AI previews on trending topics in Discover in the U.S., South Korea and India in October 2025, with each preview linking to web content. In August, Google said users would be able to tune Discover by describing what they want to see more or less of. In September, Robby Stein, VP of Product for Google Search, announced a test of a Dive deeper button that opens a short topic overview with links to related stories, starting with videos.

A data science listing for the Discover Experience team calls Discover one of the world's largest feed products, with more than 500 million daily active users, and says the team owns the feed's user-facing parts, including AI integration.

What should publishers watch?

Search Console already reports when a site's links appear in Discover's generative AI features. The report counts impressions grouped by page, country and date. Its Pages view lists the canonical URLs that supplied the information shown in those features, which may differ from the page a user lands on after a click. Impressions are the only metric the help page describes, Search Labs experiments are excluded, and sites with too few impressions may not see the report at all.

Inclusion in Discover's generative AI features is controlled through the Search generative AI setting, which also governs AI Overviews and AI Mode. Google's help page says excluding a site keeps its links and content out of Search's generative AI features, while content from other sites remains available.

None of the listings includes a timeline, and none says how much of the feed AI content would fill. Stein said Google planned to test multiple designs for Dive deeper in the weeks after his Sept. 18 post, and Google Careers does not show when the Discover roles were posted. For publishers, the Discover generative AI report is the one place to see, with their own data, how Google's AI features are linking to their pages.