Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google Ads

Google is seeking a Staff Software Engineer to join their AI/ML team focusing on Recommendations, Rankings, and Predictions for Google Ads. This role combines advanced machine learning expertise with technical leadership, requiring extensive experience in building and deploying recommendation systems at scale. The position offers an opportunity to work on technology that impacts billions of users worldwide through Google's advertising platforms.

The role demands a seasoned professional with 8+ years of software development experience and deep expertise in machine learning infrastructure and recommendation systems. You'll be responsible for leading the technical direction of high-impact projects, managing complex ML architectures, and guiding a team of engineers. The position combines hands-on technical work with leadership responsibilities, requiring both technical excellence and strong people management skills.

Working at Google Ads, you'll be at the forefront of connecting people, publishers, and advertisers through innovative advertising solutions. The team builds products across search, display, shopping, travel, and video advertising, creating trusted experiences that deliver measurable results for businesses of all sizes.

The compensation package is highly competitive, with a base salary range of $189,000-$284,000, plus additional benefits including bonus, equity, and comprehensive benefits. Google's collaborative environment and commitment to innovation make this an ideal opportunity for those looking to make a significant impact in the advertising technology space while working with cutting-edge ML technologies.

This role offers the chance to work on complex technical challenges while developing leadership skills in a dynamic, fast-paced environment. You'll be part of shaping the future of digital advertising while working with some of the most advanced ML systems in the industry. The position combines the excitement of technical innovation with the responsibility of leading and mentoring others, making it an excellent opportunity for experienced engineers looking to advance their careers in both technical and leadership dimensions.