YouTube, a leading video-sharing platform, is seeking a Senior Staff Software Engineer to lead their Recommendations, Rankings, and Predictions team. This role represents a unique opportunity to shape how billions of users discover and interact with content on one of the world's largest platforms. The position combines advanced machine learning expertise with large-scale software engineering, focusing on building and optimizing recommendation systems that power the platform's core discovery features.
The ideal candidate will serve as a key architect of innovation, leading the development of cutting-edge ML solutions across the entire live ecosystem. You'll be working at the intersection of technology and creativity, developing intelligent tools for creators while optimizing live discovery systems. The role requires deep expertise in machine learning, particularly in recommendation systems, model deployment, and infrastructure optimization.
As a technical leader, you'll guide project teams, set technical direction, and work in a complex, matrixed organization on cross-functional projects. The position offers competitive compensation ($248,000-$349,000 + bonus + equity + benefits) and the opportunity to work with cutting-edge technology that impacts billions of users globally.
This role is perfect for someone who combines strong technical skills with leadership abilities, has extensive experience in machine learning and recommendation systems, and is passionate about creating technology that connects people through content. You'll be joining a company that values diversity, creativity, and innovation, working on projects that shape how the world shares and consumes video content.