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

YouTube, a leader in global video sharing and community building, is seeking a Staff Software Engineer to join their AI/ML Recommendations team. This role represents a unique opportunity to impact how billions of users connect with content and each other through advanced machine learning systems.

The position requires a seasoned professional with 8 years of software development experience and deep expertise in recommendation systems, particularly in areas of retrieval, prediction, ranking, and embedding models. You'll be working at the forefront of machine learning infrastructure optimization and model architecture development, directly influencing how YouTube serves content to its massive user base.

As a Staff Software Engineer, you'll lead high-impact projects and guide teams in developing large-scale software solutions. Your role will be crucial in shaping the technical direction of YouTube's recommendation systems, working with cross-functional teams to drive innovation and improvement in how content is discovered and presented to users.

The position offers a competitive compensation package, including a base salary range of $189,000-$284,000, plus bonus, equity, and comprehensive benefits. Based in the San Francisco Bay Area, you'll be part of Google's broader ecosystem while focusing on YouTube's specific challenges and opportunities.

This role is perfect for someone who combines technical expertise with leadership abilities, as you'll be responsible for both hands-on development and team guidance. You'll work at the intersection of cutting-edge technology and creative content delivery, helping YouTube maintain its position as the world's leading video platform while ensuring users can easily discover content that matters to them.

The ideal candidate will bring fresh perspectives to information retrieval, distributed computing, and artificial intelligence challenges. You'll be part of a culture that values innovation, collaboration, and technical excellence, working on projects that directly impact billions of users worldwide.