Software Engineer III, Machine Learning, Google Ads

Google is seeking a Software Engineer III specializing in Machine Learning for their Ads team. This role is critical in developing and maintaining Google's advertising technology, which powers the open internet by connecting people, publishers, and advertisers. The position requires expertise in machine learning, artificial intelligence, and software development, with a focus on building scalable advertising solutions.

The role involves working on Google Ads products including search, display, shopping, travel, and video advertising, as well as analytics. You'll be developing trusted experiences between people and businesses through useful ads, helping grow businesses of all sizes from small businesses to large brands and YouTube creators.

As a Software Engineer III, you'll be responsible for writing production code, participating in design reviews, reviewing other developers' code, contributing to documentation, and troubleshooting complex system issues. The role requires strong technical skills in machine learning algorithms and tools like TensorFlow, combined with practical software development experience.

The position offers competitive compensation including a base salary range of $141,000-$202,000 plus bonus, equity, and benefits. Google provides a collaborative environment where engineers can work on challenging problems at massive scale, with opportunities to switch teams and projects as the business evolves.

You'll be joining a company committed to developing next-generation technologies that impact billions of users. Google's products handle information at massive scale and extend well beyond web search, requiring innovative solutions in distributed computing, system design, AI, and natural language processing.

The ideal candidate will bring fresh ideas, display leadership qualities, and be enthusiastic about taking on new problems across the full stack. This is an excellent opportunity for someone passionate about machine learning and advertising technology to make a significant impact at one of the world's leading technology companies.