This role will be based in Mountain View, CA.
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.
The Ads Marketplace Optimization team is responsible for the AI solutions for the fast growing Marketing Solutions business at LinkedIn. As a manager, you will lead a team of Machine Learning engineers to solve some of the cutting-edge AI problems that empower large & small businesses to reach, engage, and convert professional audiences at scale. This role provides a unique set of challenges w.r.t. scale and complexity for AI modeling as well as systems-infrastructure. The top areas include auction design, bidding and pacing algorithms, pricing, as well as building low-latency systems to serve these complex models in real time.
LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.
As an AI/ML Engineering Manager at LinkedIn you will be responsible for leading a team of Applied Researchers and Machine Learning Engineers that build and own algorithms, models, and systems that power our LinkedIn platform.
Responsibilities