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

Google's YouTube team is seeking a Software Engineer III specializing in Machine Learning and Computer Vision to join their innovative team. This role sits at the intersection of cutting-edge technology and creative content delivery, working on systems that impact billions of users worldwide.

The position offers a competitive compensation package ranging from $141,000 to $202,000, plus bonus, equity, and comprehensive benefits. Based in Mountain View, CA, you'll be part of YouTube's mission to give everyone a voice and create a platform where stories can be shared and communities can flourish.

As a Software Engineer III, you'll work with machine learning algorithms, particularly in computer vision applications, developing solutions for image classification, processing, and object detection. The role requires strong programming skills in Python and experience with ML frameworks like TensorFlow. You'll be responsible for designing, developing, and maintaining large-scale systems that power YouTube's video processing capabilities.

The ideal candidate brings 2 years of software development experience and a strong background in machine learning and artificial intelligence. You'll collaborate with cross-functional teams, participate in design reviews, and contribute to code reviews to ensure best practices. The role offers opportunities to work on challenging technical problems at scale, with access to Google's vast resources and cutting-edge technology.

YouTube's culture emphasizes innovation, creativity, and technical excellence. You'll be part of a team that moves at the speed of culture, working on projects that directly impact how billions of users consume and interact with video content. The role offers significant growth opportunities and the chance to work on technology that shapes how people share and experience content online.

This position is perfect for engineers who are passionate about machine learning, computer vision, and video technology, and who want to make a meaningful impact on one of the world's largest video platforms. You'll have the opportunity to solve complex technical challenges while working with a talented team of engineers and researchers at the forefront of AI and video technology.