Methods and systems for time marking of media items at a platform using machine learning are provided herein. A media item to be provided to users of a platform is identified. The media item includes two or more content segments. An indication of the identified media item is provided as input to a machine learning model. The machine learning model is trained using to predict, for a given media item, content segments of the given media item depicting an event of interest to the one or more users. One or more outputs of the machine learning model are obtained. The one or more obtained outputs include event data identifying each content segment of the media item and an indication of a level of confidence that each respective content segment depicts an event of interest. In response to determining that at least one content segment is associated with a level of confidence that satisfies a level of confidence criterion, the at least one content segment is associated with a bookmark for a timeline of the media item. The media item and an indication of the bookmark is provided for presentation to the at least one user.