Latest news with #RohanRajiv
Yahoo
08-05-2025
- Business
- Yahoo
LinkedIn's new AI tools help job seekers find smarter career fits
New AI features from LinkedIn will soon help job seekers find positions that best suit them—without the need for exact keyword matches or specific job titles. 'AI is already eating its own': Prompt engineering is quickly going extinct None of the objects on top of the Oval Office mantle were made in the U.S. Why the guards who protect the conclave are wearing those crazy uniforms LinkedIn's new AI-powered job search interface allows users to express their goals in plain language, says Rohan Rajiv, LinkedIn's head of career products. For example, users can type a phrase like 'business development or partnership roles in video games' and still be matched with relevant positions in the gaming industry, even if job listings don't use those exact terms. Job seekers can also enter more abstract goals like 'using brand marketing skills to cure cancer' to uncover marketing roles at pharmaceutical companies and oncology centers, Rajiv demonstrated in a session with Fast Company. Powered by large language model (LLM) AI, the new search tool interprets the intent behind job seeker queries and job descriptions, making it easier to match people with opportunities in a job market that often frustrates both applicants and employers. 'LLMs are amazing at looking at a job description and extracting semantics out of them and nuance out of them, and inferring things from them,' says Erran Berger, VP of engineering at LinkedIn. Recent survey data from LinkedIn shows that job seekers are applying to more positions than before, increasing the volume of applications that hiring teams must review. 'They say they are spending three to five hours a day sifting through applications, and less than half of these applications meet the required criteria,' Rajiv notes. The enhanced AI search can also surface jobs and employers that applicants may not have previously considered. LinkedIn currently lists more than 15 million job postings. Another new feature, 'job match,' helps users assess their fit for a role before applying. By analyzing both job descriptions and user profiles, the AI identifies how closely someone matches a job's criteria and highlights areas where qualifications are strong or lacking—such as experience with a particular technology. Unlike traditional keyword searches, LLMs are less likely to overlook relevant experience. For example, the AI understands that a web developer likely knows HTML, even if it's not explicitly listed. This insight allows users to refine their profiles with relevant skills or consider roles better aligned with their background, saving time for both candidates and recruiters. Another feature will provide context around whether a position is 'actively hiring,' whether it's being promoted on LinkedIn, and, when available, how long applicants typically wait to hear back. These AI innovations build on tools introduced last year to help recruiters identify strong matches and come roughly 20 years after LinkedIn first began helping users connect with job opportunities. At that time, the company recognized that its vast career and network data could help recruiters discover candidates not actively searching for roles, Berger explains. 'Twenty years ago, LinkedIn transformed the traditional job search by connecting recruiters with passive candidates,' CEO Ryan Roslansky says in a statement to Fast Company. 'And today, with the launch of AI-powered job search, we're not just introducing a new way to find a job, but an entirely new way to discover what's possible.' LinkedIn has steadily expanded its job-matching capabilities, introducing automated job recommendations around 2010 and consolidating job search tools into a dedicated tab on its main platform in 2016. These changes reflect how users often combine job searches with other research activities, such as exploring company profiles. Currently, more than 11,000 LinkedIn users apply for a job every minute. The company expects that its rich history of job and job seeker data will continue to enhance its AI matching tools. 'We're really uniquely positioned to take this rich data that we have—and what's possible with AI now—to build this feature in a way that few, if any, other companies can,' Berger says. This post originally appeared at to get the Fast Company newsletter: Sign in to access your portfolio
Fast Company
07-05-2025
- Business
- Fast Company
LinkedIn's new AI tools help job seekers find smarter career fits
New AI features from LinkedIn will soon help job seekers find positions that best suit them—without the need for exact keyword matches or specific job titles. LinkedIn's new AI-powered job search interface allows users to express their goals in plain language, says Rohan Rajiv, LinkedIn's head of career products. For example, users can type a phrase like 'business development or partnership roles in video games' and still be matched with relevant positions in the gaming industry, even if job listings don't use those exact terms. Job seekers can also enter more abstract goals like 'using brand marketing skills to cure cancer' to uncover marketing roles at pharmaceutical companies and oncology centers, Rajiv demonstrated in a session with Fast Company. Powered by large language model (LLM) AI, the new search tool interprets the intent behind job seeker queries and job descriptions, making it easier to match people with opportunities in a job market that often frustrates both applicants and employers. 'LLMs are amazing at looking at a job description and extracting semantics out of them and nuance out of them, and inferring things from them,' says Erran Berger, VP of engineering at LinkedIn. Recent survey data from LinkedIn shows that job seekers are applying to more positions than before, increasing the volume of applications that hiring teams must review. 'They say they are spending three to five hours a day sifting through applications, and less than half of these applications meet the required criteria,' Rajiv notes. The enhanced AI search can also surface jobs and employers that applicants may not have previously considered. LinkedIn currently lists more than 15 million job postings. Another new feature, 'job match,' helps users assess their fit for a role before applying. By analyzing both job descriptions and user profiles, the AI identifies how closely someone matches a job's criteria and highlights areas where qualifications are strong or lacking—such as experience with a particular technology. Unlike traditional keyword searches, LLMs are less likely to overlook relevant experience. For example, the AI understands that a web developer likely knows HTML, even if it's not explicitly listed. This insight allows users to refine their profiles with relevant skills or consider roles better aligned with their background, saving time for both candidates and recruiters. Another feature will provide context around whether a position is 'actively hiring,' whether it's being promoted on LinkedIn, and, when available, how long applicants typically wait to hear back. These AI innovations build on tools introduced last year to help recruiters identify strong matches and come roughly 20 years after LinkedIn first began helping users connect with job opportunities. At that time, the company recognized that its vast career and network data could help recruiters discover candidates not actively searching for roles, Berger explains. 'Twenty years ago, LinkedIn transformed the traditional job search by connecting recruiters with passive candidates,' CEO Ryan Roslansky says in a statement to Fast Company. 'And today, with the launch of AI-powered job search, we're not just introducing a new way to find a job, but an entirely new way to discover what's possible.' LinkedIn has steadily expanded its job-matching capabilities, introducing automated job recommendations around 2010 and consolidating job search tools into a dedicated tab on its main platform in 2016. These changes reflect how users often combine job searches with other research activities, such as exploring company profiles. Currently, more than 11,000 LinkedIn users apply for a job every minute. The company expects that its rich history of job and job seeker data will continue to enhance its AI matching tools. 'We're really uniquely positioned to take this rich data that we have—and what's possible with AI now—to build this feature in a way that few, if any, other companies can,' Berger says.
WIRED
05-02-2025
- Business
- WIRED
LinkedIn Is Testing an AI Tool That Could Transform How People Search for Jobs
Feb 5, 2025 12:00 PM The company says artificial intelligence could help surface jobs that remain hidden from typical search queries. Photo-Illustration:LinkedIn is testing a new job-hunting tool that uses a custom large language model to comb through huge quantities of data to help people find prospective roles. The company believes that artificial intelligence will help users unearth new roles they might have missed in the typical search process. 'The reality is, you don't find your dream job by checking a set of keywords,' the company's CEO, Ryan Roslansky, told WIRED in a statement. The new tool, he says, 'can help you find relevant jobs you never even knew to search for.' The move comes as AI continues to change how people use the web. On February 2, OpenAI announced a tool called Deep Research that uses its AI to perform in-depth web research for a user. Google offers a similar tool (with exactly the same name, in fact). Among other things, these tools can be used to automate the process of scouring different websites for job openings. LinkedIn gave WIRED a preview of the tool, which is currently being tested by a small group of users. Job searchers can enter queries such as 'find me a role where I can use marketing skills to help the environment,' or 'show jobs in marketing that pay over $100K.' LinkedIn developed its own large language model, or 'LLM'—the kind of AI that powers ChatGPT—to comb through its data and parse search queries. A regular search might only bring up openings based on their job title; the new tool can identify ones based on a deeper analysis of the job description, information about the company and its peers, and posts from across the site. It can also show job seekers what new skills they might need to pursue in order to land a particular role. 'We are really using LLMs throughout the entire stack of our search and recommender system, all the way from query understanding to retrieval to ranking,' says Rohan Rajiv, a director of product at LinkedIn. While LLMs could be a powerful tool for a company like LinkedIn, the use of AI in recruitment has sometimes been problematic because of biases lurking in the models used to vet applicants. Suzi Owen, a LinkedIn spokesperson, says the company has implemented safety measures to guard against potential biases. 'This includes addressing criteria that could inadvertently exclude certain candidates, or bias in the algorithms that could impact how qualifications are assessed,' she says. Wenjing Zhang, a vice president of engineering at LinkedIn, says the company's new AI stack could be used for more than just job hunting. It can, for instance, produce labor insights by identifying the kinds of skills companies are increasingly using in job descriptions, or that new employees talk about in their posts. I don't know if I'd trust a chatbot to offer career advice, but perhaps one that has gorged on LinkedIn's trove of data could be onto something. What do you think of LinkedIn's AI job-hunting tool? Does it seem like a helpful resource or just another potentially problematic AI program to deal with? Share your thoughts in the comments below.
