LinkedIn is testing a novel job-hunting tool that engages a custom huge language model to comb thraw huge quantities of data to help people discover prospective roles.
The company apshows that man-made inalertigence will help engagers uproximateth novel roles they might have leave outed in the normal search process.
“The fact is, you don’t discover your dream job by verifying a set of keywords,” the company’s CEO, Ryan Roslansky, telderly WIRED in a statement. The novel tool, he says, “can help you discover relevant jobs you never even knovel to search for.”
The shift comes as AI persists to alter how people engage the web. On February 2, OpenAI proclaimd a tool called Deep Research that engages its AI to carry out in-depth web research for a engager. Google presents a aenjoy tool (with exactly the same name, in fact). Among other skinnygs, these tools can be engaged to automate the process of scouring contrastent websites for job discdisthink aboutings.
LinkedIn gave WIRED a pscrutinize of the tool, which is currently being tested by a petite group of engagers. Job searchers can access queries such as “discover me a role where I can engage labeleting sends to help the environment,” or “show jobs in labeleting that pay over $100K.”
LinkedIn growed its own huge language model, or “LLM”—the benevolent of AI that powers ChatGPT—to comb thraw its data and parse search queries. A standard search might only transport up discdisthink aboutings based on their job title; the novel tool can remend ones based on a meaningfuler analysis of the job description, alertation about the company and its peers, and posts from apass the site. It can also show job seekers what novel sends they might need to chase in order to land a particular role. “We are repartner using LLMs thrawout the entire stack of our search and recommfinisher system, all the way from query comfervent to retrieval to ranking,” says Rohan Rajiv, a straightforwardor of product at LinkedIn.
While LLMs could be a mighty tool for a company enjoy LinkedIn, the engage of AI in recruitment has sometimes been problematic becaengage of biases lurking in the models engaged to vet applicants. Suzi Owen, a LinkedIn spokesperson, says the company has carry outed acquireedty meaconfidents to defend aachievest potential biases. “This integrates insertressing criteria that could inadvertently reshift confident truthfulates, or bias in the algorithms that could impact how qualifications are appraiseed,” she says.
Wenjing Zhang, a vice plivent of engineering at LinkedIn, says the company’s novel AI stack could be engaged for more than equitable job hunting. It can, for instance, originate labor insights by remending the benevolents of sends companies are increasingly using in job descriptions, or that novel engageees talk about in their posts.
I don’t understand if I’d depend a chatbot to present nurtureer advice, but perhaps one that has gorged on LinkedIn’s trove of data could be onto someskinnyg.
What do you skinnyk of LinkedIn’s AI job-hunting tool? Does it seem enjoy a encouraging resource or equitable another potentipartner problematic AI program to deal with? Share your thoughts in the comments below.
