Google Is Hiring Specialists for AI Content and Recommendations in Discover
Google is hiring engineers and a designer to work on AI content and recommendations in Discover. The job postings give no timeline for changes or indication of how much of the feed will contain AI content.
Google is looking for specialists to work on creating and recommending AI content in Discover. As Search Engine Journal reported on October 12, 2026, the job postings describe work for engineers and a designer, from checking content quality to developing the feed into a personalized assistant. This is not an update announcement: Google has given no timeline for future changes or indication of how much AI content will appear in Discover.
What Google's job postings say
The Staff ML Engineer position is on the Discover recommendations team. Its responsibilities include identifying topics, analyzing content, and checking the quality of AI-generated material. Engineers will develop content-generation processes for Discover and notifications, as well as ways to find stories that interest users in different countries.
Content must be checked for factual accuracy, timeliness, coherence, and appropriate tone. The role also involves using feedback to improve results. Similar responsibilities, at a more senior level, are listed for the Senior Staff ML Software Engineer, who will focus on the quality of AI content in the feed.
The Principal UX posting covers the design side of the work. Google describes its vision for Discover as a proactive, deeply personalized service that helps users go beyond a topic that interests them and take action. The designer will work with the YouTube, Shopping, Chrome, and Android teams and develop AI-powered formats for the feed.
At the same time, the role description says human voices and sources must remain central to the service. Experience working with creators and publishers is listed as a desirable qualification. The postings do not explain how their work will sit alongside content generated by Google.
What is already happening in Discover
AI work in Discover did not start with these job postings. In October 2025, Google launched AI previews of trending topics for users in the US, South Korea, and India. The previews include links to content across the web. In August, the company announced that users would be able to customize their feeds by describing which topics they wanted to see more or less of.
In September, Google said it was testing a Dive deeper button, which opens a short overview of a topic with links to related content. The test began with videos. The company planned to test several design variations in the weeks following its September 18 announcement. The job postings do not tie the specialists' future work to any particular version of this feature.
In another job posting, Google describes Discover as a product with more than 500 million daily active users. But the size of the feed tells us nothing about the scale of the changes ahead. The postings provide neither a schedule nor an estimate of how much of the feed AI content will occupy. They also do not say when the jobs were posted on the company's site.
What this means for website owners
Search Console already lets website owners see impressions of links to their sites in Discover's generative AI features. The data can be viewed by page, country, and date. The Pages view shows the canonical URLs of the content used as a source of information; these may differ from the URLs users reach after clicking.
The report has limits. The help documentation describes impressions only, so the report cannot tell you about visits. It does not break down data by individual AI feature or include Search Labs experiments. If there are few impressions, the section may not appear. The absence of a report does not, by itself, give a complete picture of a site's presence in these formats.
The Search generative AI setting controls whether a site can appear in Discover's generative AI features. It also applies to AI Overviews and AI Mode. According to Google's help documentation, excluding a site removes its links and content from Search's generative AI features but does not exclude content from other sites. So the decision about this setting affects more than Discover.
For now, the practical approach for website owners is to check the report for their own pages and keep recorded impressions separate from expectations about the future feed. The job postings give marketers and editors a reason to watch Discover's formats, but they do not confirm a new way to appear in them.
My view
For our family-run delicatessen, this is a reminder not to build plans around changes with no announced timeline. I'd rather first get our product range and an easy way to order by phone working on an off-the-shelf system, then assess new channels based on data.
If we later decide to work on Discover separately, I'd define the scope in advance: what we'll look at in Search Console and what outcome we can measure. That way, expectations for an AI-powered feed won't turn into a promise of extra traffic.
Sources
Where the news comes from. The text is a retelling in the author’s own words; the facts come from the source, the opinion is the author’s.
- Google Is Hiring To Generate AI Content For Discover via @sejournal, @MattGSouthern www.searchenginejournal.com
Client for a family deli website
I’m helping my family launch online orders for our deli in Gdańsk. I’m figuring out the catalog and delivery myself, and try to ask technical questions in advance.
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Discussion 5
Olga Linde
The postings mention checks for factual accuracy and timeliness, but what would count as a reliable quality signal for AI-generated stories in Discover? I’d be wary of treating engagement alone as evidence that a recommendation is useful, especially since the article gives no indication of how much AI content users will see.
Feliks Zawadzki Post author
Good point—engagement alone can reward clickbait. I’d want accuracy, freshness and coherence checked separately, with clear labeling so users know when a story is AI-generated; Google hasn’t said how it’ll measure that yet.
Zakhar Kostas
@feliks_zy, on hotel sites I’ve seen, a recommendation only helps if it gets someone to the right room and available dates quickly; a polished story that sends them down a dead end costs bookings. I’d want the quality checks to include whether the content leads to a useful next step, not just whether it reads well or gets clicks.
Ruslan Fazylov
If Google adds AI-generated stories to Discover, will publishers have a way to identify and correct errors in material based on their reporting, or is that still undefined along with the rollout timeline?
Feliks Zawadzki Post author
That’s still undefined—the postings mention quality checks, but no publisher correction path or rollout details. I’d want a clear way to flag errors before AI summaries misrepresent a small site’s reporting.