• a-graph-showing-keyword-search-query-p95-latency-with-increasing-qps-for-different-workloads

    Text analytics on LinkedIn Talent Insights using Apache Pinot

    June 16, 2021

    Co-authors: Siddharth Teotia and Tim Santos Introduction LinkedIn Talent Insights (LTI) is a platform that helps organizations understand the external labor market and their internal workforce, and enables the long term success of their employees. Users of LTI have the flexibility to construct searches using the various facets of the LinkedIn Economic Graph...

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    Releasing Bluepill to the Mobile Native Foundation

    June 7, 2021

    In March, LinkedIn joined the recently announced Mobile Native Foundation (MNF), a Linux Foundation project launched with the support of Airbnb, Corellium, Elotl, Flare.build, GitHub, GogoApps, Haystack, Line, Lyft, Microsoft, screenplay.dev, Slack, Solid Software, and Spotify. The goal of the Mobile Native Foundation is to disseminate knowledge and tooling...

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    Homepage feed multi-task learning using TensorFlow

    June 3, 2021

    Co-authors: Ian Ackerman and Saurabh Kataria Editor’s Note: Multi-objective optimization (MOO) is used for many products at LinkedIn (such as the homepage feed) to help balance different behaviors in our ecosystem. There are two parts to how we work with multiple objectives: the first is about training high-fidelity models to predict member behavior (e.g.,...

  • chart-showing-exponential-growth-of-data-metadata-and-compute-on-linkedins-largest-hadoop-cluster

    The exabyte club: LinkedIn’s journey of scaling the Hadoop ...

    May 27, 2021

    Co-authors: Konstantin V. Shvachko, Chen Liang, and Simbarashe Dzinamarira LinkedIn runs its big data analytics on Hadoop. During the...

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    An update on Responsible AI at LinkedIn

    May 24, 2021

    Co-authors: Parvez Ahammad, Kinjal Basu, Shaunak Chatterjee, Sakshi Jain, Ryan Rogers, and Guillaume Saint-Jacques At LinkedIn, our...

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    Greykite: A flexible, intuitive, and fast forecasting...

    May 13, 2021

    Co-authors: Reza Hosseini, Albert Chen, Kaixu Yang, Sayan Patra, Rachit Arora, and Parvez Ahammad In this blog post, we introduce the...