• Under The Hood: Learning With Documents

    April 24, 2019

    Co-authors: Anurag Rawat and Kirsten Rauffer LinkedIn Learning aims to be the world’s most engaging learning platform. Learning content comes in many different shapes and sizes, and as such, our team is continually expanding the types of content that we support. Today, educational videos make up a majority of the content on LinkedIn Learning. However, we’ve...

  • talentai1

    The AI Behind LinkedIn Recruiter Search and Recommendation Systems

    April 22, 2019

    Co-authors: Qi Guo, Sahin Cem Geyik, Cagri Ozcaglar, Ketan Thakkar, Nadeem Anjum, and Krishnaram Kenthapadi   LinkedIn Talent Solutions serves as a marketplace for employers to reach out to potential candidates and for job seekers to find career opportunities. A key mechanism to help achieve these goals is the LinkedIn Recruiter product, which helps recruiters...

  • reactions1

    Engineering LinkedIn Reactions

    April 17, 2019

    As you casually scroll through a news feed, you may “like” a post here and there. “Liking” has become so second-nature that we don’t often think about what happens the minute you hit that “like” button. When we began considering building out our “likes” feature into a set of reactions on LinkedIn, it took time for me to understand how complex a “like” really is....

  • privacypreserving1

    Privacy-Preserving Analytics and Reporting at LinkedIn

    April 10, 2019

    Co-authors: Krishnaram Kenthapadi, Thanh Tran, Mark Dietz, and Ian Koeppe Preserving privacy of users is a key requirement of...

  • avro1

    Avro2TF: An Open Source Feature Transformation Engine for...

    April 4, 2019

    Co-authors: Xuhong Zhang, Chenya Zhang, and Yiming Ma   Today, we are announcing a new open source project called Avro2TF. This...

  • documentationatscale1

    Managing Documentation at Scale

    April 2, 2019

    LinkedIn’s engineering teams are distributed around the globe: from California to Bangalore, our engineers are constantly taking a...