Software Engineer III, Machine Learning (Generative AI), YouTube

YouTube, a leader in video sharing and content creation, is seeking a Software Engineer III specializing in Machine Learning with a focus on Generative AI. This role sits at the intersection of cutting-edge technology and creative expression, working on technologies that impact billions of users worldwide. As part of Google's ecosystem, you'll be developing next-generation technologies that revolutionize how users connect, explore, and interact with information and each other.

The position requires strong expertise in machine learning, particularly in Generative AI, including Large Language Models and Multi-Modal systems. You'll be working with advanced ML tools and frameworks, contributing to YouTube's mission of giving everyone a voice and building community through shared stories. The role combines technical excellence with practical application, requiring both software engineering fundamentals and specialized ML knowledge.

As a Software Engineer III, you'll be responsible for designing, developing, and maintaining sophisticated ML systems, participating in technical design reviews, and ensuring code quality through peer reviews. The position offers competitive compensation, including a base salary range of $136,000-$200,000, plus bonus, equity, and comprehensive benefits.

This is an excellent opportunity for someone passionate about machine learning and its applications in content creation and distribution. You'll be working in Mountain View, CA, collaborating with talented teams to solve complex problems at scale. The role offers growth potential and the chance to impact how billions of users experience and interact with YouTube's platform.

YouTube's commitment to diversity, innovation, and technical excellence makes this an ideal position for engineers who want to push the boundaries of what's possible in machine learning and content technology. You'll be part of a culture that values creativity, technical innovation, and the power of shared stories to connect people worldwide.