Director of Engineering - AI

LinkedIn is seeking a Director of Engineering - AI to lead their Marketing Solutions (LMS) AI Engineering Team. This role is part of LinkedIn's $6B+ B2B Advertising Platform, focusing on leveraging AI technology to power their advertising business. The position offers a hybrid work arrangement, combining remote work with office presence at LinkedIn's facilities.

The role involves leading a team of world-class applied researchers and ML/AI engineers who solve cutting-edge AI problems in advertising. The director will be responsible for building and scaling the technology stack that powers LinkedIn's advertising business, including advertiser experiences, ad serving platform, and ad products.

The ideal candidate will have a strong background in AI/ML techniques, particularly in the advertising domain, with experience managing large teams of 40+ individuals including first/second-line managers. They should possess deep understanding of large-scale engineering systems and big data technologies like Hadoop and Spark.

This leadership position requires someone who can drive architectural decisions, implement best practices, and foster a culture of innovation. The director will work with massive amounts of high-frequency data and be responsible for delivering end-to-end solutions for high QPS systems.

LinkedIn offers competitive compensation ($218,000 - $357,000) and comprehensive benefits including health and wellness programs. The company's mission is to create economic opportunities for every member of the global workforce, and this role directly contributes to that vision by advancing their advertising technology capabilities.

The position requires a bachelor's degree in a quantitative field and at least 5 years of management experience. Publications at conferences and patents are highly desirable. This is an excellent opportunity for a technical leader who wants to make a significant impact on a platform that helps millions of professionals achieve more in their careers.