Senior Staff Software Engineer, Recommendations, Rankings, Predictions, YouTube

YouTube, a global leader in video sharing and content creation, is seeking a Senior Staff Software Engineer to lead their Recommendations, Rankings, and Predictions team. This role represents a unique opportunity to impact how billions of users discover and engage with content on one of the world's largest platforms.

The position combines advanced machine learning expertise with large-scale software engineering, requiring a seasoned professional with 8+ years of software development experience and deep expertise in recommendation systems. You'll be working at the intersection of cutting-edge technology and creative content delivery, developing solutions that directly influence how users interact with YouTube's vast content ecosystem.

As a technical leader, you'll be responsible for architecting and implementing sophisticated ML solutions that power YouTube's recommendation engine. This includes optimizing ML infrastructure, developing complex model architectures, and leading cross-functional teams to deliver high-impact projects. Your work will directly influence how millions of users discover content and how creators reach their audiences.

The role offers a competitive compensation package ranging from $237,000 to $337,000, plus bonus, equity, and comprehensive benefits. You'll be working from YouTube's Mountain View headquarters, collaborating with some of the industry's brightest minds in machine learning and software engineering.

This position is ideal for someone who combines strong technical expertise with leadership abilities, as you'll be guiding teams, managing project priorities, and driving technical direction. You'll need to balance technical depth with strategic thinking, ensuring that YouTube's recommendation systems continue to evolve and improve while maintaining scalability and performance.

The role requires extensive experience in machine learning, particularly in building and deploying recommendation systems models in production. You'll be working with technologies like TensorFlow and handling large-scale data infrastructure. Your impact will be significant, helping shape how YouTube serves its mission of giving everyone a voice and showing them the world.

Working at YouTube means being part of a culture that values creativity, innovation, and inclusive technology. You'll be joining a team that moves at the speed of culture, constantly adapting and evolving to meet the needs of both creators and viewers. This is an opportunity to work on technology that impacts billions of users while being part of a community that believes in the power of shared stories and connections.