Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube

Join YouTube's AI/ML team as a Staff Software Engineer focused on recommendations, rankings, and predictions. This role combines cutting-edge machine learning with large-scale software engineering to shape how billions of users discover and engage with content. You'll lead the development of sophisticated recommendation systems while working at Google, a company known for its innovative technology and global impact.

As a Staff Software Engineer, you'll be responsible for designing and implementing large-scale ML solutions that power YouTube's recommendation engine. The role requires deep expertise in both software engineering and machine learning, particularly in building and optimizing recommendation systems, model deployment, and ML infrastructure.

The position offers an opportunity to work with world-class engineers and researchers, tackling complex technical challenges at unprecedented scale. You'll be part of YouTube's mission to give everyone a voice and show them the world, working at the intersection of cutting-edge technology and boundless creativity.

The compensation package is competitive, ranging from $197,000 to $291,000 base salary, plus bonus, equity, and comprehensive benefits. You'll work in either Mountain View or San Bruno, CA, collaborating with teams across Google's ecosystem.

This role is perfect for experienced engineers who are passionate about machine learning, can lead technical teams, and want to make a significant impact on how billions of users experience YouTube. You'll need to combine strong technical skills with leadership abilities, guiding teams and projects while maintaining high standards of engineering excellence.