Identifying job seekers

A system, comprising:

• one or more processors;
• and
• memory storing instructions that, when executed by the one or more processors, cause the system to:
• determine, based on data retrieved from a data store in an online system, profile features produced from profile attributes in a profile of a first member in the online system and activity features produced from activity attributes that characterize activity of the first member with the online system;
• apply a machine learning model to the profile features and the activity features to produce a score representing a likelihood that the first member is a job seeker;
• apply a threshold to the score to generate a classification of the first member as the job seeker or as a non-job-seeker;
• and
• update, based on the classification, content outputted in a user interface of the online system by one or more electronic devices.

A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method, the method comprising:

• determining, based on data retrieved from a data store in an online system, profile features produced from profile attributes in a profile of a first member in the online system and activity features produced from activity attributes that characterize activity of the first member with the online system;
• applying a machine learning model to the profile features and the activity features to produce a score representing a likelihood that the first member is a job seeker;
• applying a threshold to the score to generate a classification of the first member as the job seeker or as a non-job-seeker;
• and
• updating, based on the classification, content outputted in a user interface of the online system by one or more electronic devices.