Software Engineer III, Machine Learning, Google Ads

Google is seeking a Software Engineer III specialized in Machine Learning for their Google Ads team. This role is crucial in developing advertising technologies that connect people, publishers, and advertisers across the internet. The position requires expertise in machine learning, artificial intelligence, and software development, with opportunities to work on various aspects of Google's advertising products including search, display, shopping, travel, and video advertising.

The ideal candidate will have at least 2 years of experience in software development and machine learning algorithms, with a strong foundation in data structures and algorithms. They will be responsible for writing code, participating in design reviews, and contributing to the development of large-scale systems that impact billions of users worldwide.

Google Ads is a critical component of Google's business, helping to power the open internet by creating value for all stakeholders. The team builds trusted experiences between people and businesses through useful ads, helping businesses of all sizes grow while enabling Google to engage with customers at scale.

The role offers competitive compensation ($141,000-$202,000 base salary) plus bonus, equity, and comprehensive benefits. Working at Google provides the opportunity to collaborate with world-class engineers, access to cutting-edge technology, and the chance to solve complex problems at unprecedented scale. The position is available in premium locations including Mountain View, Kirkland, and Los Angeles, offering flexibility in work location choice.

As part of Google's commitment to innovation and excellence, the role demands versatility and leadership qualities. The successful candidate will manage project priorities, deadlines, and deliverables while designing, developing, testing, and maintaining software solutions that push technology forward. 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.