LinkedIn Engineering Blog & Tech Articles
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930 engineering articles, tutorials, and technical insights from LinkedIn's engineering team
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Min Chen
14 min read
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Morteza Ramezani
17 min read
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Asa Kusuma
16 min read
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Tanmay Khemka
14 min read
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Nikita Zhiltsov
18 min read
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Nikhil N Jannu
17 min read
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Chen Zhu
14 min read
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Nuzhet Atay
15 min read
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Richa Mehta
11 min read
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Albert Hwang
12 min read
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Hristo Danchev
19 min read
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Aditya Hegde
17 min read
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Rahul Godha
15 min read
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This article discusses the engineering of LinkedIn's job ingestion system, which processes millions of job postings daily from various sources.
The article discusses how LinkedIn developed the Contextual Agent Playbooks & Tools (CAPT) to enhance AI coding agents with organizational context, enabling them to better assist engineers in their...
The article discusses the challenges and solutions related to HDFS block placement in the context of maintaining exabyte-scale clusters at LinkedIn.
Ponmani Palanisamy
12 min read
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The article discusses the transformation of LinkedIn's search technology stack through the integration of large language models (LLMs) to enhance semantic search capabilities.
Fedor Borisyuk
18 min read
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The article discusses LinkedIn's modernization of its Static Application Security Testing (SAST) capabilities to enhance security for its members.
Emmanuel Law
10 min read
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The article discusses how LinkedIn enhanced its recommendation systems using SGLang, an open-source LLM serving framework.
Steven Shimizu
10 min read
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The article discusses the evolution of the Venice ingestion pipeline at LinkedIn, highlighting its architectural advancements and optimizations that enable the platform to handle over 230 million r...
The article discusses how LinkedIn's Feed algorithm operates and addresses concerns regarding demographic factors affecting content visibility.
Sakshi Jain
3 min read
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FishDB is a generic retrieval engine developed by LinkedIn to replace the legacy FollowFeed system, enhancing scalability and performance for their feed infrastructure.
The article discusses the development of LinkedIn's Hiring Assistant, an AI-driven tool designed to enhance the recruiting process.
Xiaoyang Gu
19 min read
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The article discusses the modernization of the LDAP and Kerberos infrastructure that secures Hadoop at LinkedIn, detailing the transition from a legacy setup to a highly available, automated system...
The article discusses the advancements in LinkedIn's Hiring Assistant, an AI-powered tool designed to streamline the recruitment process.
Prashanthi Padmanabhan
6 min read
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The article discusses the evolution of LinkedIn's edge-building system, focusing on how it leverages AI-powered recommendations to enhance user interactions.
The article discusses LinkedIn's modern Public Key Infrastructure (PKI) that integrates hardware-based security measures to ensure strong, verifiable identities for workloads.
Sindhu Ravichandran
8 min read
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The article discusses the optimization of LinkedIn Sales Navigator’s search pipeline using Apache Spark, highlighting the transition from MapReduce to Spark and the resulting performance improvemen...
The article introduces Northguard and Xinfra, two innovative systems developed by LinkedIn to enhance log storage scalability and operability.
Onur Karaman
19 min read
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The article discusses LinkedIn's approach to establishing a universal ownership model through a concept called 'Crews.
Prince Shekhar Valluri
10 min read
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The article discusses LinkedIn's transformation of its job search functionality through AI and large language models (LLMs).
The article discusses JUDE, LinkedIn's platform for generating high-quality embeddings for job recommendations using fine-tuned Large Language Models (LLMs).
BERTEmbeddingHugging FaceKubernetesLarge Language ModelsMistralPyTorchTransfer LearningTransformerTransformers
Nikita Zhiltsov
13 min read
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The article discusses how LinkedIn utilizes Hoptimator to enhance the ingestion process for Apache Pinot, a real-time distributed OLAP datastore.
Ryanne Dolan
9 min read
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The article discusses how LinkedIn enhanced its Revenue Attribution Report (RAR) using additive symmetric homomorphic encryption (ASHE) to improve privacy and significantly reduce network congestio...
Saikrishna Badrinarayanan
9 min read
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The article discusses the evolution of LinkedIn's Nuage control plane, highlighting its transition from a self-service platform to a comprehensive control plane solution for managing data infrastru...
Aashish Nagpal
21 min read
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The article discusses how LinkedIn utilized Jupyter Notebooks to create collaborative prompt engineering playgrounds, enhancing the development of AI-powered features like AccountIQ.
The article discusses the importance of data-driven attribution in understanding customer journeys and optimizing marketing strategies.
John Bencina
15 min read
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The article discusses LinkedIn's Ad Library, a tool designed to enhance transparency in advertising by providing searchable access to ads served on the platform.
Aanchal Somani
8 min read
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The article discusses the optimization of LinkedIn's My Network tab by reducing latency and enhancing user experience through architectural changes and a new domain model.
Elan Meltsner
9 min read
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The article discusses the development of domain-adapted foundation GenAI models at LinkedIn, focusing on their application within the Economic Opportunity Network (EON) project.
Praveen Kumar Bodigutla
12 min read
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The article discusses the implementation of an automated GenAI-driven search quality evaluation system for LinkedIn's typeahead suggestions.
The article discusses LinkedIn's commitment to connecting its members to economic opportunities through advanced AI technologies.
Mohak Shroff
7 min read
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The article discusses Liger-Kernel, an open-source library designed to enhance GPU efficiency for training large language models (LLMs).
Pin-Lun (Byron) Hsu
10 min read
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The article discusses LinkedIn's implementation of a Stateful Workload Operator for managing stateful systems on Kubernetes.
Michael Youssef
14 min read
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The article discusses the technological advancements behind LinkedIn's Hiring Assistant, the first AI agent designed to assist recruiters by automating repetitive tasks.
Aarathi Vidyasagar
5 min read
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This article discusses the challenges and solutions related to Java heap memory and garbage collection, specifically in the context of LinkedIn's FollowFeed service.
The article discusses LinkedIn's transition to Azure Linux as its primary operating system, detailing the motivations, challenges, and strategies involved in the migration.
The article announces the recipients of the LinkedIn-Cornell 2024 grants, highlighting the collaboration between LinkedIn and Cornell Bowers College of Computing and Information Science.
Natesh Pillai
5 min read
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This article discusses the Candidate Generation (CG) stage of LinkedIn's People You May Know (PYMK) recommendation system, detailing the various techniques used to generate relevant candidate pools...
Parag Agrawal
13 min read
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The article discusses how LinkedIn is utilizing data to enhance skills-based hiring through a feature called Skills Match.
Zhujun (Allison) Chen
12 min read
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