Senior Staff Software Engineer, AI/ML GenAI, Google Ads

Google is seeking a Senior Staff Software Engineer to join their AI/ML GenAI team within Google Ads. This role represents an opportunity to work at one of the world's leading technology companies, developing next-generation technologies that impact billions of users globally. The position focuses on advanced machine learning and artificial intelligence applications within Google's advertising ecosystem.

The role combines technical leadership with hands-on development, requiring expertise in state-of-the-art GenAI techniques including LLMs, Multi-Modal systems, and Large Vision Models. You'll be working on critical projects that help power Google Ads' sophisticated advertising products across search, display, shopping, travel, and video advertising platforms.

As a Senior Staff Engineer, you'll lead technical project strategy, oversee ML infrastructure optimization, and guide teams in implementing cutting-edge GenAI solutions. The position offers significant impact potential, working with multiple teams to create trusted experiences between people and businesses through useful ads, while helping grow businesses of all sizes.

The compensation package is highly competitive, with a base salary range of $248,000-$349,000, plus bonus, equity, and comprehensive benefits. This role is based in Mountain View, CA, offering the opportunity to work from Google's headquarters and collaborate with some of the industry's brightest minds.

The ideal candidate will bring 8+ years of software development experience, strong leadership capabilities, and deep expertise in machine learning and GenAI. You'll need to be comfortable managing complex projects, leading distributed teams, and driving technical decisions that impact Google's advertising products at scale.

This position offers the chance to work on challenging technical problems while contributing to products that have real-world impact on millions of businesses and billions of users. You'll be part of Google's mission to organize the world's information and make it universally accessible and useful, specifically through the lens of advertising technology and artificial intelligence.