Senior Software Engineer, Machine Learning (Computer Vision), YouTube

YouTube is seeking a Senior Software Engineer specializing in Machine Learning with a focus on Computer Vision. This role is part of Google's broader mission to develop next-generation technologies that impact billions of users worldwide. The position offers an exciting opportunity to work at the intersection of cutting-edge technology and creative content delivery.

The ideal candidate will bring 5+ years of software development experience and strong expertise in machine learning algorithms, particularly in computer vision applications. You'll be working on critical projects that directly impact YouTube's ability to help users share and discover content effectively. The role combines technical leadership with hands-on development, requiring both depth in ML/CV and breadth across software engineering disciplines.

At YouTube, the mission is to give everyone a voice and show them the world. You'll be joining a team that believes in the power of shared stories and community building through technology. The work environment is dynamic and fast-paced, matching the speed of cultural evolution while maintaining a focus on technical excellence.

The position offers a competitive compensation package ranging from $166,000 to $244,000 plus bonus, equity, and comprehensive benefits. You'll have the opportunity to work on projects involving image classification, object detection, and video processing, contributing to technologies that shape how billions of users interact with content.

The role requires strong collaboration skills, as you'll be working with cross-functional teams, participating in design reviews, and mentoring other developers. You'll be expected to contribute not just code, but also technical leadership, documentation, and architectural decisions that help YouTube maintain its position as a leading video platform.

Working at YouTube means being part of a culture that values innovation, technical excellence, and creative problem-solving. You'll have the chance to work on large-scale systems while maintaining the agility to adapt to changing user needs and technological landscapes.