Google’s Cloud Job Discovery Enters Beta Testing Phase

Finding qualified candidates for open positions can be costly and time consuming for businesses of all sizes. Outsourcing hiring duties to job placement agencies can help in some cases, but unfortunately these companies aren’t always in tune with the needs of their clients. Hiring managers have been looking for cost-effective new ways to screen candidates for decades, and Google may finally have a compelling solution.

Cloud Job Discovery is a tool that uses artificial intelligence and machine learning to match employers with the best possible candidates for vacant positions.

This tool constitutes the cornerstone of the company’s Google for Jobs Initiative which was first announced in May, 2017. Since then, several recruiting services and industry-specific websites have participated in a pilot program designed to assess the apparent virtues and pitfalls of Cloud Job Discovery. Now, after deploying the tool more than 3,000 times, Google is ready to expand the scope of its pilot program to include staffing agencies and application tracking systems (ATS) as well. With the beta testing phase in full swing, Cloud Job Discovery’s machine learning algorithms will gain access to a wealth of new data that can improve the tool’s decision-making process. Participants in the expanded pilot program are understandably excited about its potential implications for the future.

“As the first ATS provider included in this beta program, we believe that Google’s powerful search and machine learning capabilities can be incredibly impactful by weaving them more deeply into the world of recruiting” said Al Smith, vice president of technology at iCIMS Inc. in a statement.

Google is already the nation’s leading resource for location and information searches. Soon, the company could have a similarly transformative impact on job searches as well.