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

YouTube, a leading video-sharing platform under Google, is seeking a Staff Software Engineer to spearhead their AI/ML recommendations, rankings, and predictions systems. This role represents a unique opportunity to impact how billions of users discover and engage with content on one of the world's largest video platforms.

The position combines advanced machine learning expertise with large-scale software engineering, requiring deep experience in building and deploying recommendation systems. As a Staff Engineer, you'll lead the technical direction of critical projects, working at the intersection of cutting-edge technology and creative content delivery.

The role offers a competitive compensation package ranging from $197,000 to $291,000, plus bonus, equity, and comprehensive benefits. Based in either Mountain View or San Bruno, CA, you'll be part of Google's world-class engineering team, working on technology that shapes how people connect with information and each other.

You'll be responsible for designing and implementing sophisticated recommendation systems, optimizing ML infrastructure, and guiding model architecture development. The role requires strong leadership skills to influence and coach teams, manage project priorities, and facilitate cross-functional collaboration.

This position is ideal for someone with 8+ years of software development experience and deep expertise in machine learning, particularly in recommendation systems. You'll have the opportunity to work on projects that directly impact YouTube's ability to serve its massive user base while pushing the boundaries of AI/ML technology.

The role combines technical excellence with leadership, requiring both hands-on development skills and the ability to guide teams through complex technical challenges. You'll be part of YouTube's mission to give everyone a voice and show people the world, working in an environment that values innovation, creativity, and technical expertise.