Using machine learning to determine job families using job titles

A system for training a machine learning model using information pertaining to a plurality of job titles, the system comprising:

• a memory;
• and
• a processing device, coupled to the memory, to:
• generate training data for the machine learning model, wherein to generate the training data, the system to:
• generate first training input, the first training input comprising information identifying the plurality of job titles associated with a plurality of organizations;
• and
• generate a first target output for the first training input, wherein the first target output identifies
• an indication of a plurality of job families, wherein a job family of the plurality of job families identifies a category of personnel positions that are categorized based on one or more characteristics that are shared between the personnel positions of the category;
• and
• provide the training data to train the machine learning model on (i) a set of training inputs comprising the first training input, and (ii) a set of target outputs comprising the first target output.

A system for using a trained machine learning model with respect to information pertaining to a job title of a plurality of job titles to determine a job family of a plurality of job families that corresponds to the job title, the system comprising:

• a memory;
• and
• a processing device, coupled to the memory, to:
• provide to the trained machine learning model first input comprising information identifying the job title associated with an organization of a plurality of organizations;
• and
• obtain, from the trained machine learning model, one or more outputs identifying (i) an indication of the job family that identifies a category of personnel positions that are categorized based on one or more characteristics that are shared between the personnel positions of the category, (ii) a level of confidence that the job family corresponds to the job title.