Senior Software Engineer, Machine Learning (Generative AI), YouTube

Google is seeking a Senior Software Engineer specializing in Machine Learning and Generative AI for YouTube. This role combines cutting-edge AI technology with one of the world's largest video platforms, offering an opportunity to impact billions of users worldwide.

The position requires expertise in machine learning algorithms, particularly in Generative AI, Large Language Models, and Multi-Modal systems. As a senior engineer, you'll be responsible for developing and implementing advanced ML solutions while working with YouTube's massive scale infrastructure.

The role offers a competitive compensation package ranging from $166,000 to $244,000, plus bonus, equity, and comprehensive benefits. Based in San Bruno, CA, you'll be part of YouTube's mission to give everyone a voice and show people the world through video content.

Key responsibilities include writing and testing product code, leading technical design reviews, and ensuring best practices in code development. You'll work at the intersection of cutting-edge technology and creative content delivery, helping shape the future of video content distribution and consumption.

The ideal candidate brings 5+ years of software development experience, strong Python programming skills, and demonstrated expertise in machine learning and AI. You'll have the opportunity to work with state-of-the-art ML tools and contribute to YouTube's innovative features that serve billions of users.

This role offers significant growth potential within Google's engineering organization, with opportunities to lead technical initiatives and shape the direction of AI applications in video technology. You'll be part of a team that values innovation, technical excellence, and the impact of technology on global user experiences.

Working at YouTube means being at the forefront of video technology and AI advancement, with access to Google's vast resources and the chance to solve complex technical challenges at scale. The role combines technical leadership with hands-on development, making it ideal for engineers passionate about both AI technology and its practical applications in consumer products.