Co- Authors: Aditya Hedge and Saumi Bandyopadhyay 2022 was a year driven by change for the Talent Acquisition industry, with nearly 50k company mergers and acquisitions completed worldwide. As of November 2023, roughly 150K+ recruiters switched jobs in the previous 12 months as shown in Figure 1. These changes – whether at an organization level or a user level – result in ownership transfers of hiring entities. Figure 1: Talent pool report for recruiters - LinkedIn Talent Insights During mergers and acquisitions, the source company’s user licenses and data are transferred to ..read more

LinkedIn is always working hard to make sure that its platform is a safe and trusted place for its members. We've been on a journey to strengthen our platform against abuse by continuously improving our account restriction systems. This helps us ensure that our policies are followed and that our community can keep growing. In a previous blog post, we talked about how we built our anti-abuse platform using CASAL. This powerful system is our first line of defense against bad actors and adversarial attacks. In this blog post, we'll go deeper into how we manage account restrictions. We'll ..read more

(This article originally appeared on LinkedIn) Advancements in AI consumed our attention and drove massive business considerations in 2023. Seemingly overnight, Generative AI (GAI) went mainstream – quickly becoming more deeply embedded across organizations and in everyone’s day-to-day work. Executives recognize the potential value GAI can bring to their organizations with 74% seeing at least one way it will benefit their employees, according to our September 2023 U.S. Executive Confidence Index.  For engineering leaders, the focus in 2024 will be on how to best harness the poten ..read more

Co-Authors: Shubham Agarwal and Rishi Gupta At LinkedIn, we work every day to deliver a safe and trusted experience for our members and customers. A key part of this work is our content abuse defense systems, which function behind the scenes to help detect and remove policy-violating content from the platform, while helping surface professional, relevant, and meaningful content that adds value to the member experience. We rigorously invest in enhancing these defense systems, which are a foundational pillar to maintaining member trust and safety and delivering a positive member exp ..read more

At LinkedIn, trust is the cornerstone for building meaningful connections and professional relationships. Our members rely on us to create an environment on our platform where they can safely learn and grow in their careers. As part of this responsibility, we are constantly looking for innovative ways to prevent policy-violating behavior such as harassment, spamming, fake accounts, and other activities that undermine the positive and respectful interactions our community strives to uphold. By leveraging cutting-edge technologies, machine learning algorithms, and a dedicated team, we remain ..read more

Co-authors: Max Kanat-Alexander and Grant Jenks Today we are open-sourcing the LinkedIn Developer Productivity & Happiness Framework (DPH Framework) - a collection of documents that describe the systems, processes, metrics, and feedback systems we use to understand our developers and their needs internally at LinkedIn.  Now more than ever, developers are navigating so much change and new opportunity in this new era of Generative AI, so ensuring teams have the systems, processes, metrics and feedback systems to be successful is paramount. Our goal with this release was to ..read more

Co-authors: Arjun Mohnot, Jenchang Ho, Anthony Quigley, Xing Lin, Anil Alluri, Michael Kuchenbecker   LinkedIn operates one of the world’s largest Apache Hadoop big data clusters. These clusters are the backbone for storing and processing extensive data volumes, empowering us to deliver essential features and services to members, such as personalized recommendations, enhanced search functionality, and valuable insights. Historically, deploying code changes to Hadoop big data clusters has been complex. As workloads and clusters grow, operational overhead becomes even more challengi ..read more

Co-authors: Sofus Macskassy, Lu Sun, Di Zhou, Rui Kou and Zhuliu Li Skills are at the heart of every professional's qualifications for a role or new opportunity. At LinkedIn, we see a future where the world of work is centered on a skills-first economy. Adopting a skills-first approach will be especially critical as the requirements for roles, businesses, and industries are rapidly changing amid the current generative AI (GAI) boom.  That's why at LinkedIn, we want to help our members and customers embrace a skills-first mindset to create a more efficient and equitable world of work. W ..read more

Authors: Ryan Rogers, Subbu Subramaniam, Lin Xu Contributors:  Mark Cesar, Praveen Chaganlal, Xinlin Zhou, Jefferson Lai, Jennifer Li, Stephanie Chung, Margaret Taormina, Gavin Uathavikul, Laura Chen, Rahul Tandra, Siyao Sun, Vinyas Maddi, Shuai Zhang Content creators post on LinkedIn with the goal of reaching and engaging specific audiences. Post analytics helps creators measure their post performance overall and with specific viewer demographics, so they can better understand what resonates and refine their content strategies. The number of impressions on each post shows ho ..read more

Co-Authors: Shweta Patira, Ankan Saha, Yilin Li, and Manas Somaiya Earlier this year, we launched Collaborative Articles with the vision of making LinkedIn the one-stop destination for all work-related questions. Among our 1 billion members, there are seasoned experts who have encountered every conceivable workplace problem. If we could present their thoughts on LinkedIn, then mentors, experts, and coaches would be right at our members' fingertips. So we set off to make that happen. Rather than following the traditional Q&A path for gathering perspectives, we embarked on a slightly ..read more