LinkedIn’s Change to its Search Engine Could Affect Your Job Search

Most people looking for a job usually spend hours scouring job search engines and LinkedIn. However, the professional network has changed the way its search engine works, shifting from a keyword-based, taxonomy-driven system to an AI-powered semantic search that understands natural language. In this podcast episode, Caleb Johnson of LinkedIn dives into how LinkedIn uses AI and large language models (LLMs) to revolutionize job search, improve search relevance, and ensure data privacy.

Featuring: Caleb Johnson, principal staff software engineer

In this episode, we cover:

• AI-powered job search and semantic understanding
• Use of LLMs and transformer architecture
• Bias mitigation and fairness in AI systems
• Data privacy and compliance in AI applications
• Future directions: voice, visual search, and interactive AI

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References:

• Indeed Unveils AI Agents for Job Seekers and Recruiters
• Google's AI-Powered Chrome Further Transforms Search
• LinkedIn Unveils AI Updates for Business Users, Job Seekers