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 requires an experienced technical leader who will be instrumental in developing cutting-edge ML solutions that power YouTube's platform. You'll work across the entire live ecosystem, from optimizing live discovery to developing intelligent tools for creators. The role combines advanced machine learning expertise with large-scale software engineering, focusing particularly on recommendation systems, rankings, and predictions.
As a key architect of innovation at YouTube, you'll lead projects that directly impact how users discover and engage with content. You'll be working with state-of-the-art machine learning infrastructure, developing and optimizing models that operate at massive scale. The role offers the opportunity to work at the intersection of cutting-edge technology and boundless creativity, moving at the speed of culture.
The position comes with competitive compensation, including a base salary range of $248,000-$349,000, plus bonus, equity, and comprehensive benefits. You'll be joining a company that values diversity, inclusion, and the belief that everyone deserves to have a voice. YouTube's mission of showing people the world through shared stories and building community aligns with their commitment to innovation and technical excellence.
This role is perfect for someone who combines deep technical expertise in machine learning and recommendation systems with strong leadership abilities. You'll have the opportunity to influence the direction of YouTube's recommendation systems while leading and mentoring a team of talented engineers. The position offers the chance to work on challenging technical problems at scale while contributing to a platform that impacts billions of users globally.