YouTube is seeking a Staff Software Engineer to lead their AI/ML Recommendations team, focusing on rankings, predictions, and recommendation systems. This role combines advanced machine learning expertise with large-scale software engineering, working on technology that impacts billions of users worldwide. The position offers an opportunity to shape how users discover and interact with content on one of the world's largest video platforms.
The role requires deep expertise in both software development and machine learning, particularly in building and optimizing recommendation systems. You'll be responsible for leading technical projects, managing complex ML infrastructure, and guiding architectural decisions that affect YouTube's recommendation ecosystem. The position combines hands-on technical work with leadership responsibilities, including mentoring team members and driving cross-functional collaboration.
Working at YouTube, you'll be at the intersection of cutting-edge technology and creative content delivery, helping to shape how billions of users discover and engage with video content. The role offers competitive compensation, including a base salary range of $197,000-$291,000, plus bonus, equity, and comprehensive benefits.
The ideal candidate will bring extensive experience in software development, machine learning, and technical leadership, with a proven track record of building and deploying recommendation systems at scale. You'll need to balance technical excellence with leadership skills, guiding teams while maintaining hands-on involvement in complex technical challenges.
This position represents a unique opportunity to impact how people around the world discover and consume content, working with cutting-edge AI/ML technology at massive scale. You'll be part of YouTube's mission to give everyone a voice and show them the world, while working with some of the most advanced recommendation systems in the industry.