Google Is making a Move Into Recruiting Technology

jobline-blog (8)
According to ERE Media, Google is dipping its toe deeper into the world of recruiting tools and technology, by partnering with some company names that’ll ring familiar. But it’s not a new job board Google are launching, but rather a tool that other companies could use on their sites: an API to help match candidates with jobs. In a statement announcing their brand new Jobs API, Group Data Scientist, Christian Posse, said: “Today we introduced Google Cloud Jobs API, our latest machine learning service that provides the necessary lingua franca between the job seeker and employer job postings in order to improve the hiring process. Much like how Google Cloud Translation API translates an arbitrary string into any supported language, Cloud Jobs API understands the nuances of job titles, descriptions, skills and preferences, and matches job seeker preferences with relevant job listings based on sophisticated classifications and relational models.” How will it work? Well, according to Google, at the heart of Cloud Jobs API “there are two main proprietary ontologies that encode knowledge about occupations and skills, as well as relational models between these ontologies”:
  1. The occupation ontology, an enhanced evolution of O*NET Standard Occupational Classification, has 3 layers: The top layer includes approximately 30 broad job categories (e.g., accounting and finance, human resources, restaurant and hospitality). The second layer lists 1,100 occupation families (e.g., emergency registered nurses, foresters, database administrators), and a third layer consists of 250,000 specific occupations (e.g., software engineer, senior software engineer and parking enforcement officer).
  2. The skill ontology defines and organises around 50,000 hard and soft skills with different types of relationships such as is_a, related_to, etc.
Relational models encode the popularity and specificity of each skill for any occupation family and any specific occupation. For example, the relational models that encode JavaScript, HTML, CSS are skills related to occupations Front-end engineer, UI engineer etc. This allows Cloud Jobs API to identify similar occupation families and specific occupations based on the similarity of their skills distributions.

Related Blogs

Leave us a comment