AI Tech Lead Manager

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

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 job is based in Sunnyvale, CA.

Topicality AI is at the heart of LinkedIn’s Knowledge Marketplace making professional knowledge approachable and relevant for every member through unconnected content recommendation. We help professionals discover high-quality insights beyond their immediate network and creators build lasting professional influence.

Our mission is simple but ambitious: bring high-quality knowledge content to the right members at the right moment—at Feed scale.

As part of the Topicality AI team, you will work end to end across the content recommendation lifecycle:

What makes this team unique is ownership. We do both innovative research and production engineering—taking ideas from early product intuition all the way through modeling, production deployment, and live member impact. You’ll see your work ship quickly, receive real-time member feedback, and do research that directly influences how millions of people’s Feed experiences are shaped every day.

Join us as we revolutionize unconnected content discovery and distribution at LinkedIn!

Suggested Skills

- Large-scale AI problem solving
- Technical background
- Strategic thinking
- Machine Learning, Big Data and Deep Learning
- Leadership
- Machine Learning
- AI Engineering

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

Compensation

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $170,000 - $277,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.

Responsibilities

Understand and model content quality with agentic LLMs guided by human feedback; Match content to members by revolutionizing retrieval and ranking systems with state-of-the-art generative models; Decide where and when content appears across LinkedIn’s Feed and surfaces to maximize member value

Requirements

BA/BS in Computer Science or other technical discipline, or related practical technical experience; 5+ years of related industry experience in Machine Learning, development, and algorithm related solutions; 1+ year(s) of management experience leading a AI/ML engineering team, or 1+ year(s) of Staff level AI/ML engineering experience with management training; Hands on experience in data modeling and machine learning

Nice to have

MS or PhD in Computer Science, Machine Learning, Statistics or related fields; 2+ years of experience in Machine Learning Engineering management and people management; Experience driving impact with Generative AI products and Search and Recommendation systems; 7+ years of hands on experience in data modeling and machine learning