Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube

YouTube is seeking a Staff Software Engineer to lead their AI/ML Recommendations, Rankings, and Predictions team. This is a senior technical leadership role that combines deep machine learning expertise with large-scale software engineering. The position offers an opportunity to shape how billions of users discover and engage with content on one of the world's largest video platforms.

The role requires extensive experience in building and deploying recommendation systems, including retrieval, prediction, ranking, and embedding models at scale. You'll be responsible for both technical leadership and hands-on development, optimizing ML infrastructure and architecting solutions across different modeling domains.

As a Staff Engineer at YouTube, you'll work at the intersection of cutting-edge technology and creative content discovery, helping to fulfill YouTube's mission of giving everyone a voice and showing people the world. The role offers competitive compensation including base salary, bonus, equity, and comprehensive benefits.

The ideal candidate will bring together software engineering excellence with deep ML expertise, leading projects that impact billions of users while mentoring and growing other engineers. You'll collaborate across teams to drive technical direction and architecture decisions for YouTube's recommendation systems.

This is an opportunity to work on challenging technical problems at massive scale, with access to Google's world-class infrastructure and ML platforms. You'll be part of shaping how YouTube connects users with content they love while building the future of video discovery and recommendations.