Co-authors: Benjamin Le, Daniel Gmach, Aman Grover, Roshan Lal, Jerry Lin, Austin Lu, Qingyun Wan, and Leighton Zhang Feature engineering is foundational for building artificial intelligence (AI) that powers products at LinkedIn. Recently, “representation learning” or “feature learning” has started replacing manually engineered features, as they provide...
Product Design Articles
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In the previous blog posts of our “Rebuilding messaging” series, we shared the process of how we designed the system from high-level product and engineering requirements, and how we bootstrapped the data. In this post, we’ll explore why we made extensibility a core aspect of our messaging platform, what that meant for our partner teams, and how we got it done....
- Topics:
- infrastructure,
- Architecture,
- Product Design
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Co-authors: Pradhan Cadabam and Jingxuan (Rex) Zhang Messaging has been a core part of Linkedin since the day we launched and our system behind it has evolved tremendously over the past 17 years. However, the architecture of our messaging backend largely remained unchanged until a recent ground-up overhaul. In the second part of our “Rebuilding messaging” series...
- Topics:
- infrastructure,
- Architecture,
- Product Design
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Co-authors: Sneha Chaudhari, Mahesh Joshi, and Gungor Polatkan In part 1 of this series, we shared a high-level overview of our course...
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Co-authors: Timothy Santos and Jeremy Lwanga LinkedIn is a mission-driven organization, and we take our mission of “connecting the...
- Topics:
- Pinot,
- Product Design
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Co-authors: Sneha Chaudhari, Mahesh Joshi, and Gungor Polatkan LinkedIn Learning is a platform where LinkedIn members have the...