YouTube, a leading video-sharing platform under Google, is seeking a Staff Software Engineer specializing in AI/ML Recommendations, Rankings, and Predictions. This role represents a unique opportunity to impact how billions of users interact with content on one of the world's largest video platforms.
The position combines advanced machine learning expertise with large-scale software engineering, focusing on building and optimizing recommendation systems that power YouTube's content discovery. As a Staff Engineer, you'll lead the technical direction of critical projects, working at the intersection of cutting-edge AI technology and scalable software systems.
The role offers competitive compensation ($197,000-$291,000 base salary) 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 organization, working with teams that push the boundaries of technology and creative expression.
Key responsibilities include leading the design and implementation of recommendation systems, optimizing ML infrastructure, and guiding model architecture development. You'll also provide technical leadership, manage project priorities, and coach distributed teams of engineers.
The ideal candidate brings 8+ years of software development experience, with deep expertise in recommendation systems, ML infrastructure, and technical leadership. This role offers the opportunity to shape how millions of users discover and engage with content on YouTube, making it an exciting position for those passionate about the intersection of AI/ML and content discovery at scale.