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, a crucial division that powers the open internet through advanced advertising technology. This role represents a unique opportunity to work at one of the world's leading tech companies, focusing on cutting-edge artificial intelligence and machine learning applications in advertising.

The position requires a seasoned professional with extensive experience in software development, particularly in GenAI techniques such as LLMs, Multi-Modal, and Large Vision Models. You'll be working on technologies that impact billions of users, developing next-generation solutions that extend well beyond traditional web search. The role combines technical leadership with hands-on development, requiring both strategic thinking and deep technical expertise.

As a Senior Staff Engineer, you'll lead high-impact projects, manage complex technical initiatives, and guide teams in developing large-scale software solutions. The role involves working with state-of-the-art GenAI technologies and optimizing ML infrastructure at an industry scale. You'll be responsible for driving technical strategy, facilitating cross-team collaboration, and ensuring the successful delivery of critical projects.

The position offers a competitive compensation package, including a base salary range of $248,000-$349,000, plus bonus, equity, and comprehensive benefits. You'll have the opportunity to work from either Mountain View, CA, or New York, NY, collaborating with talented engineers and researchers in Google's innovative environment.

This role is ideal for candidates who are passionate about AI/ML technology, have a proven track record in technical leadership, and want to make a significant impact on products used by billions of people worldwide. You'll be at the forefront of developing and implementing AI solutions that shape the future of digital advertising while working with some of the most advanced technology infrastructure in the industry.