Google is hiring machine learning engineers to generate and recommend AI-generated content in its information feed, Discover, as well as a senior designer to shape the user experience. The job listings include creating content tailored to users’ interests and checking its quality. They do not specify when the features will roll out or what share of the feed AI-generated content will make up.
Discover Is a Feed That Delivers Content Based on Users’ Interests
Discover is Google’s information feed, which presents web articles, videos and other content based on users’ interests. The distinction is that Search lets people look for something by entering what they want to know, while Discover delivers information they may be interested in.
A job listing for a data science role related to Discover describes the service as having more than 500 million daily active users. The hiring effort involves figuring out how to deliver AI-generated content through a feed of that scale.
The goal is not just to improve recommendations with AI. The job listings also include generating content, indicating that Google intends to integrate AI not only into how information is selected but also into what users read.
AI Is Moving Beyond Selecting Articles to Creating Their Content
The machine learning engineer listings cite discovering topics, understanding content and managing the quality of AI-generated content as responsibilities. They also include developing systems that use AI to carry out multiple processes and create content for Discover and notifications.
The criteria to be checked include factual accuracy, freshness, consistency and tone. The listings also call for a system that incorporates user feedback into future improvements. Even the senior machine learning engineer role will deal with the quality of AI-generated content in Discover.
The challenge is to balance engaging content with information people can trust. Even if AI can produce compelling writing, outdated information or inaccurate explanations could undermine the value of an information service. The fact that the listings explicitly call for quality checks shows that Google is building this challenge into the development work. However, they do not explain the specific verification methods or quality standards.
The Aim Is an Experience That Helps Users Go Beyond Reading Information
The senior UX design role describes a vision of turning Discover into a concierge-like experience tailored to each person. UX is about designing not only how easy a screen is to use, but also the experience people have through a service.
The role includes helping users explore topics that interest them in depth and move from learning to taking action. The listings also cite working with the YouTube, Shopping, Chrome and Android teams, as well as expanding AI-powered formats within the feed.
These responsibilities point toward a service that organizes information around a goal, rather than a feed where users simply read an article and move on. However, it is not clear how the various services would be connected or what users would be able to do.
The same job listing also calls for keeping people and human-created sources at the center. Experience building systems that exchange value with creators and publishers is also considered a plus. As AI-powered information delivery expands, figuring out how to coexist with the people and organizations that create the original content is another design challenge.
AI Summaries of Trending Topics Are Already Available
In October 2025, Discover introduced AI-generated previews that briefly summarize trending topics in the United States, South Korea and India. Each preview includes links to content on the web.
Google has also announced a feature that lets users adjust their feed by describing in words what they want to see or less of. It has also introduced a test in which a “Dive deeper” button opens a brief overview of a topic and links to related articles.
The hiring plans are consistent with an effort to expand these AI features. However, the visions described in job listings should not be treated as features that are already available. It is important to distinguish between features already launched, those being tested and systems Google aims to develop through this hiring effort.
For Site Operators, Impressions Alone Do Not Show the Full Impact
Search Console has a report for site operators showing how often links to their sites appear in Discover’s generative AI features. The data can be broken down by page, country and date. For page-level impressions, the report shows the canonical URL used in the AI feature’s information, which may differ from the URL users visit after clicking.
However, the only metric described in the documentation is impressions. There is no breakdown by individual AI feature, and Search Labs experiments are excluded. The report may also be unavailable for sites with few impressions.
For a site, being used in an AI explanation and actually attracting readers are separate issues. It would be difficult to assess the impact on traffic or business based on this report alone.
Inclusion in Discover’s generative AI features is governed by the controls for generative AI in Search, which also apply to AI Overviews and AI Mode. Sites that opt out will no longer have their links and content used in Search’s generative AI features. The job posting does not specify a launch timeline for AI-generated content or what share of Discover it will occupy.
Comments