About the job
At LinkedIn, we prioritize a flexible work approach built on trust, fostering culture, connection, clarity, and adapting to our business's evolving needs. The position will operate in a hybrid format, involving both remote work and in-office days at a LinkedIn office as determined by team needs.
This role is based in Mountain View, CA.
Key Responsibilities:
As part of the Enterprise AI team, you will collaborate with highly skilled and passionate AI Engineers and a brilliant cross-functional team, all dedicated to creating the premier platform that connects individuals in the global workforce to opportunities worldwide. This presents a significant opportunity to influence millions of LinkedIn users in finding the best possible opportunities.
Build and Grow Talent: Attract, mentor, and cultivate a diverse, high-performing team of applied scientists and engineers. Promote an inclusive culture where team members feel empowered to share ideas, take intelligent risks, and develop into technical leaders.
Define Clear Direction: Translate business and product needs into a focused technical roadmap. Align daily tasks with LinkedIn’s overarching mission and long-term strategic goals.
Advance LLM and Matching Systems: Lead the team in enhancing hybrid retrieval systems and domain-tuned LLM applications. Utilize LinkedIn’s unique data to ground model outputs, boost job matching relevance, and improve overall quality.
Ensure Scalability and Efficiency: Collaborate with infrastructure and platform teams to enhance retrieval and serving efficiency, including embedding optimization, adaptive caching, and parameter-efficient configurations.

