YouTube, a leading platform in video sharing and community building, is seeking a Staff Software Engineer specializing in Machine Learning. This role represents a unique opportunity to impact how billions of users connect and interact with content and each other. The position requires a seasoned professional with 8 years of software development experience and deep expertise in machine learning algorithms and tools.
As a Staff Software Engineer, you'll be at the forefront of developing next-generation technologies, working with cutting-edge ML tools and frameworks like TensorFlow. You'll lead technical projects, make critical architectural decisions, and help shape the future of YouTube's ML infrastructure. The role combines technical leadership with hands-on development, requiring both depth in machine learning and breadth across software engineering disciplines.
The position offers the chance to work in a dynamic environment where creativity meets technical innovation. You'll be part of a team that believes in giving everyone a voice and making the world better through shared stories and community building. The role comes with competitive compensation, including a base salary range of $189,000-$284,000, plus bonus, equity, and comprehensive benefits.
This is an ideal opportunity for someone who wants to make a significant impact at scale, working on projects that affect billions of users worldwide. You'll be part of YouTube's mission to show people the world while solving complex technical challenges at the intersection of machine learning and large-scale systems. The role offers growth opportunities, technical challenges, and the chance to work with some of the best minds in the industry.
The position requires strong leadership skills, with experience in leading project teams and setting technical direction. You'll work in a complex, matrixed organization, collaborating across functions and businesses. This role is perfect for someone who combines technical excellence with the ability to drive innovation and lead teams in a fast-paced, evolving environment.