Staff Software Engineer, AI/ML, Google Workspace

Google is seeking a Staff Software Engineer specialized in AI/ML for their Google Workspace team. This role combines technical leadership with hands-on development in machine learning and large-scale systems. The position requires extensive experience in software development, ML infrastructure, and technical leadership, offering a competitive compensation package of $189,000-$284,000 plus bonus and equity.

The role involves leading the design and implementation of specialized ML solutions, optimizing infrastructure, and guiding model optimization strategies. You'll be working on critical projects that impact billions of users, specifically within the Google Workspace ecosystem. The position requires both technical expertise and leadership skills, as you'll be managing project priorities and coaching distributed teams of engineers.

Google's environment is fast-paced and dynamic, offering opportunities to work on various aspects of technology, from information retrieval to artificial intelligence and natural language processing. The team focuses on developing products that help users connect, communicate, and collaborate, serving millions of users across homes, businesses, universities, and nonprofits worldwide.

As a Staff Software Engineer, you'll be part of a team that's shaping the future of web experiences and computing. The role offers the chance to work with cutting-edge technologies while leading high-impact projects that directly influence how people interact with Google's products. You'll be expected to bring fresh ideas and contribute to various areas of the technology stack while displaying strong leadership qualities.

The position comes with Google's comprehensive benefits package and the opportunity to work in a culture that values diversity, equity, and inclusion. You'll be part of an organization that's committed to building a representative workforce and creating a sense of belonging for all employees. The role offers significant growth potential and the chance to work on projects that scale to billions of users.