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

YouTube, a leading technology company, is seeking a Software Engineer III specializing in Machine Learning with a focus on Computer Vision. This role is perfect for someone who wants to make an impact on how billions of users connect and interact with video content. As part of Google's ecosystem, you'll work on cutting-edge technologies in machine learning and computer vision, developing solutions that scale to YouTube's massive user base.

The role combines technical expertise in machine learning, particularly computer vision, with software engineering best practices. You'll be working on critical projects that directly impact YouTube's video processing and understanding capabilities. The position offers opportunities to work with state-of-the-art ML tools and frameworks, particularly in areas like image classification, object detection, and video processing.

The ideal candidate will bring strong programming skills, especially in Python, along with substantial experience in machine learning and computer vision. 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 offers competitive compensation, including a base salary range of $141,000-$202,000, plus bonus, equity, and comprehensive benefits.

Working at YouTube means being at the intersection of cutting-edge technology and boundless creativity. You'll collaborate with teams across the organization, participate in design reviews, contribute to documentation, and help maintain high code quality through peer reviews. The role requires both technical depth in ML/CV and the ability to work effectively in a fast-paced, collaborative environment.

This is an excellent opportunity for someone who wants to combine their passion for machine learning and computer vision with the chance to impact billions of users worldwide. You'll be part of a company that values diversity, inclusion, and the power of technology to connect people through shared experiences.