LinkedIn has introduced a suite of Artificial Intelligence-driven features designed to make job searching more intuitive and effective for its users. Leveraging large language model technology, the new search capabilities allow job seekers to articulate their ideal positions in everyday language, significantly broadening the types of opportunities surfaced to them. Whether users specify broad interests like ´business development or partnership roles in video games´ or more abstract goals such as ´using brand marketing skills to cure cancer´, LinkedIn´s tools can interpret intent and uncover relevant roles—even when job listings use different wording or titles.
Rohan Rajiv, LinkedIn’s head of career products, explained that these enhancements move away from traditional, rigid keyword-matching systems. Instead, the Artificial Intelligence analyzes the semantics and nuances of both candidate queries and job descriptions, greatly improving the likelihood of connecting job seekers with positions that are a strong fit, yet may have otherwise gone unnoticed. LinkedIn’s Vice President of Engineering, Erran Berger, emphasized that these models excel at inferring skills and relevant experience even when not explicitly mentioned, offering candidates a more accurate view of openings they should consider.
Another key feature, ´job match,´ evaluates how well a user’s profile aligns with a job’s criteria, highlighting both strengths and skill gaps such as technology expertise. The Artificial Intelligence also provides additional context, indicating whether a company is actively hiring, promoting the role, or typical applicant response times. These updates arrive as job applications have surged, with LinkedIn reporting applicants now spend up to five hours daily searching and that less than half of applications meet basic requirements. By significantly improving matching, these features aim to streamline the process for both job seekers and recruiters, marking LinkedIn’s latest evolution since debuting automated job recommendations in 2010 and reinforcing its leadership in career discovery via Artificial Intelligence.
