AI Engineering Manager, Knowledge Extraction & Linking

LinkedIn is seeking an AI Engineering Manager to lead the Knowledge Extraction and Linking (KEL) Team within their Core AI organization. This role represents a unique opportunity to shape the future of professional knowledge systems while impacting hundreds of millions of professionals worldwide.

The KEL team operates at the intersection of Large Language Models (LLMs) and Knowledge Graphs, building foundations for next-generation AI products. The team drives innovation in semantic understanding and query comprehension across LinkedIn's product lines, leveraging cutting-edge LLM technologies to extract, infer, and link entities and concepts from vast amounts of professional content.

As the AI Manager, you will lead a talented team of Applied Researchers and Machine Learning Engineers in developing state-of-the-art solutions that combine LLMs with knowledge graph technologies. Your work will directly influence how professionals discover opportunities, connect with others, and navigate their careers through enhanced semantic understanding and query interpretation.

Key projects under your leadership will include Query Understanding and Annotation, Organization and People Entity Resolution (OER), and Large Language Modeling and Serving (LLM). The role offers a hybrid work arrangement based in Sunnyvale, CA, providing flexibility while maintaining team collaboration.

The position offers competitive compensation ($200,000-$268,000) plus annual bonus and RSUs, along with comprehensive benefits including health coverage, 401(k), and wellness programs. This is an exceptional opportunity to lead technical innovation at the world's largest professional network while working with cutting-edge AI technologies and talented teams.

Join LinkedIn to be part of a mission-driven organization creating economic opportunities for every member of the global workforce, while advancing your career at the forefront of AI technology.