Partner with the Engineering Director to set and execute against the technical outlook to deliver against our time-sensitive multiyear product growth strategy and roadmap, balancing short- and long-term priorities against business needs.

Address high-dimensional machine learning challenges, including modeling sparse and complex survey responses.

Dive into deep-engagement signals and build algorithms and infrastructure for integrating user interests and a real-time responsive recommendation stack.

Collaborate with technical leads on other cross-functional teams (CoreX, Gemini/Research, YouTube Data, and Machine Learning Infrastructure) to integrate next-gen infrastructure and generative AI capabilities that improve the user and content understanding and responsiveness of the retrieval and ranking systems.

Bachelor's degree in Engineering, Computer Science, or equivalent practical experience.

15 years of experience in engineering.

Experience with cross-functional technical innovation.