Google is seeking a Staff Software Engineer to join their YouTube team, focusing on AI/ML Recommendations, Rankings, and Predictions. This is a senior technical leadership role that combines deep expertise in machine learning with large-scale software engineering.
The position requires an experienced professional who will lead the design and implementation of recommendation systems while optimizing ML infrastructure and guiding model architecture development. The role involves working at the intersection of cutting-edge technology and creative content delivery, specifically within YouTube's mission to give everyone a voice and build community through shared stories.
The ideal candidate will bring 8+ years of software development experience, with particular depth in recommendation systems, ML infrastructure optimization, and technical leadership. They will be responsible for designing and developing large-scale software solutions, providing technical leadership on high-impact projects, and facilitating alignment across teams.
This is an excellent opportunity for someone who wants to impact billions of users through YouTube's recommendation systems. The role offers competitive compensation ($197,000-$291,000 + bonus + equity + benefits) and the chance to work with cutting-edge AI/ML technologies at scale. The position is based in either Mountain View or San Bruno, CA, placing you at the heart of Google's innovation centers.
The role combines technical excellence with leadership responsibilities, requiring both deep technical knowledge and the ability to influence and guide teams. You'll be working on systems that directly impact how billions of users discover and engage with content on YouTube, making this a high-impact position with significant technical challenges and opportunities for innovation.