Senior Staff AI Engineer, AI Algorithm Foundations

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. This role will be based in Sunnyvale, CA.

Our Core AI organization is dedicated to transforming the professional world through innovative artificial intelligence solutions. We aim to enhance the experiences of over a billion members worldwide, enabling them to connect, learn, and grow in unprecedented ways. We develop next generation AI technologies that understand the unique needs of professionals and proactively assist them in achieving their goals.

Core AI is embarking on a groundbreaking initiative to develop agentic models that will redefine how our members interact with the LinkedIn platform. We are building advanced AI agents that exhibit reasoning, planning, and interaction capabilities. These agents will power new features and experiences that anticipate professionals' needs, automate complex tasks, and provide personalized guidance, ultimately shaping the future of work.

Responsibilities:

• This is a Senior Technical Leader role that will provide thought leadership and expert individual contribution for a team of Senior and Staff/Lead AI Engineers; reporting to the Director of the Foundational Algorithms (Core AI) team.
• Lead the development of next-generation recommender systems on top of foundational LLMs.
• Design and train large language models (LLMs) from scratch or adapt existing models to achieve state-of-the-art performance on recommendation tasks in Linkedin’s domain.
• Drive architectural decisions for foundational model development and deployment, ensuring scalability, efficiency, and robustness.
• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation and excellence.
• Collaborate with cross-functional teams (product engineering, infrastructure) to identify high-impact opportunities and integrate models into the LinkedIn platform.
• Stay at the forefront of research in LLMs and related fields, contributing to the broader research community through publications and presentations.
• Define and execute rigorous evaluation strategies to benchmark the performance of foundational models against state-of-the-art solutions.