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 infrastructure and model architectures that power YouTube's recommendation engine. The role requires both technical expertise and leadership skills, as you'll be guiding teams and projects while working on complex technical challenges.

The ideal candidate brings 8 years of software development experience, with deep expertise in building and deploying recommendation systems models in production. You'll need strong technical leadership experience, particularly in ML design and infrastructure optimization. The role offers exposure to working with massive-scale systems that handle information for billions of users worldwide.

YouTube's mission is to give everyone a voice and show them the world. This role directly contributes to that mission by improving how content is discovered and recommended to users. The company offers competitive compensation, including a base salary range of $189,000-$284,000, plus bonus, equity, and comprehensive benefits. You'll be working in Mountain View, CA, alongside talented engineers and researchers who are passionate about pushing the boundaries of AI/ML technology.

This is an excellent opportunity for someone who wants to make a significant impact on how billions of people discover and interact with content, while working with cutting-edge AI/ML technology at one of the world's most influential tech companies. The role combines technical challenges with leadership opportunities, making it ideal for those who want to advance both their technical and management skills.