Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube

YouTube, a global platform that believes in giving everyone a voice, is seeking a Staff Software Engineer to lead their AI/ML Recommendations team. This role sits at the intersection of cutting-edge technology and creative content delivery, focusing on developing and optimizing recommendation systems that enhance user experience for billions of users worldwide.

The position requires an experienced professional with 8 years of software development expertise and deep knowledge in building recommendation systems, ML infrastructure, and architecture design. You'll be working with a diverse team of engineers, leading high-impact projects that directly influence how users discover and engage with content on YouTube.

As a Staff Software Engineer, you'll be responsible for designing and implementing large-scale software solutions, particularly in recommendation systems, predictions, and rankings. You'll provide technical leadership, manage project priorities, and guide team members while ensuring alignment across different functions. The role offers the opportunity to work on complex problems at massive scale, directly impacting how billions of users interact with YouTube's content.

The compensation package is highly competitive, ranging from $197,000 to $291,000 base salary, plus bonus, equity, and comprehensive benefits. This reflects YouTube's commitment to attracting and retaining top talent in the AI/ML field. The position is based in Mountain View, CA, where you'll collaborate with some of the brightest minds in technology.

This role is perfect for someone who combines technical expertise with leadership abilities, has a passion for machine learning and recommendation systems, and wants to make a significant impact on how people discover and share stories worldwide. You'll be part of a culture that values innovation, collaboration, and the power of technology to connect people through shared experiences.