YouTube 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 video platforms. The position combines advanced machine learning expertise with large-scale software engineering, requiring deep experience in building and optimizing recommendation systems.
The ideal candidate will serve as a key technical leader, architecting cutting-edge ML solutions that power YouTube's platform. They will be responsible for leading the development of sophisticated recommendation systems, from model architecture to production deployment, while managing cross-functional teams and driving technical direction. The role offers the chance to work at the intersection of cutting-edge technology and creative content delivery, directly impacting how users explore and engage with YouTube's vast content ecosystem.
Working at YouTube means joining a culture that believes in giving everyone a voice and making the world better through shared stories. The company operates at the speed of culture, combining advanced technology with creative expression. The compensation package is highly competitive, with a base salary range of $237,000-$337,000, plus additional benefits including bonus, equity, and comprehensive health coverage.
The position requires significant expertise in machine learning, particularly in recommendation systems, with 8 years of software development experience and 5 years of ML infrastructure optimization. The successful candidate will lead projects that span the entire live ecosystem, from optimizing content discovery to developing intelligent tools for creators. This is an opportunity to work on problems at massive scale, implementing solutions that will shape how billions of users connect with content and each other.