Team Overview:
The Ads Audience and Identity team is responsible for the systems that power LinkedIn鈥檚 abilities to determine the identity of a visitor, mine troves of activity data to present as a targetable audience, and to balance retrieval against ranking at runtime. We operate at the intersection of machine learning systems (retrieval, prediction, identity graph), backend systems (LLMs, streaming systems, analytics) and product design (how to best present these options to an advertiser, copilots). Together, they power the experiences for advertisers to set up their ad targeting, for us to convince them of the right targeting to use and to finally present what is unique about the audience we deliver to them.
Location:
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 鈥痓e based in Sunnyvale, CA
Responsibilities:
As a Principal Engineer you will be setting the technical direction and foundation to build and own algorithms, models, systems and product experiences that power LinkedIn鈥檚 Audience and Identity tech platform. We are looking for a high performing and high ambition tech lead who will use AI/ML, Infrastructure and Product Design to push the boundaries of our ads stack and meet the future needs of our B2B advertisers. You will closely work with product and engineering partners (at the level of Directors+ and Principal Engineers+) to define and shape product and technical strategies for LinkedIn鈥檚 Ads business.
Define and execute technical vision for applying AI and Data Systems to accelerate the team鈥檚 roadmap which includes activity data mining using LLMs, identity resolution using heterogeneous data sources, ads retrieval at scale and advertiser workflows to build higher performing ads.
Mentor and work with other Sr. Staff SWEs in the team to establish quality norms, to build a culture of operational excellence and speed.
Partner with Product, Data Science, and AI Research orgs to translate business goals into scalable AI-and-Data powered capabilities to improve the advertiser experience & ROI.
Establish best practices for experimentation, model evaluation, and responsible AI.
Provide architectural guidance and mentorship to up-level the engineering organization
Work closely with and influence product and/or technology partners regularly to help define roadmap