Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations of how graph-structured data, personalization, and representation learning can be applied to LinkedIn’s candidate search problem. Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality.

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Featuring:

• Suju Rajan – LinkedIn
• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

• The AI behind LinkedIn’s recruiter search
• TensorFlow Extended (TFX)
• hidden-technical-debt-in-machine-learning-systems.pdf">Paper: “Hidden Technical Debt in Machine Learning Systems”

Something missing or broken? ai-108.md">PRs welcome!