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

YouTube, a global leader in video sharing and content discovery, is seeking a Staff Software Engineer to join their AI/ML team. This role sits at the intersection of cutting-edge technology and creative content delivery, focusing on recommendations, rankings, and predictions systems that serve billions of users worldwide.

The position offers an exciting opportunity to work on large-scale recommendation systems that directly impact how users discover and engage with content on YouTube. As a Staff Software Engineer, you'll be responsible for designing and implementing sophisticated ML models and infrastructure while leading technical initiatives that shape the future of content discovery.

The ideal candidate brings deep expertise in machine learning, particularly in recommendation systems, along with strong software engineering fundamentals. With 8+ years of software development experience and 5+ years in ML systems, you'll be well-positioned to tackle complex technical challenges and mentor other engineers.

Working at YouTube means joining a dynamic environment where technology meets creativity. You'll collaborate with cross-functional teams to solve real problems at massive scale, while contributing to a platform that gives voice to creators worldwide. The role offers competitive compensation ($189,000-$284,000 base salary) plus bonus and equity, along with Google's comprehensive benefits package.

This position provides an opportunity to shape how billions of users interact with YouTube's content discovery systems while working with some of the most advanced ML infrastructure in the industry. You'll be part of a team that values innovation, technical excellence, and the impact of their work on user experience and creator success.

The role combines technical leadership with hands-on engineering, requiring both strategic thinking and practical implementation skills. You'll be expected to drive technical decisions, mentor team members, and contribute to YouTube's mission of showing people the world through video content.

If you're passionate about machine learning, excited by the challenge of working at massive scale, and want to be part of a team that's revolutionizing how people discover and share content, this role offers the perfect opportunity to make a significant impact while advancing your career at one of the world's leading technology companies.