Join YouTube's Discovery team as a Senior Staff Software Engineer to shape extraordinary discovery experiences for billions of users. This role combines technical leadership with hands-on development of recommendation systems that help users discover engaging content from YouTube's vast library.
The position requires deep expertise in machine learning, particularly in building and deploying recommendation systems models including retrieval, prediction, ranking, and embedding in production environments. You'll be responsible for leading ML design and optimization of infrastructure while managing project priorities and deliverables.
YouTube offers a dynamic environment at the intersection of cutting-edge technology and creativity, where you'll work with a team dedicated to connecting people through video content. The role offers competitive compensation ($248,000-$349,000 base salary) plus bonus, equity, and comprehensive benefits.
Key responsibilities include designing and implementing large-scale software solutions, providing technical leadership on high-impact projects, and facilitating alignment across teams. You'll need 8 years of software development experience, with particular depth in recommendation systems and ML infrastructure.
This is an opportunity to make a significant impact on how billions of users discover and engage with content on one of the world's largest video platforms. You'll work with cutting-edge ML technologies while leading technical initiatives that shape the future of content discovery at YouTube.
The role combines technical expertise with leadership responsibilities, requiring both deep technical knowledge and the ability to guide and influence teams. You'll be part of YouTube's mission to give everyone a voice and show them the world, working at the forefront of recommendation technology.