Staff Software Engineer, AI/ML, Google Workspace

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The web is what you make of it and our team is helping the world make more of the web. From open-source pros to user-experience extraordinaires, we develop products that help users connect, communicate and collaborate with others. Our consumer products and cloud platforms are giving millions of users at homes, businesses, universities and nonprofits around the world the tools that shape their web experience -- and changing the way they think about computing.

As a Staff Software Engineer in AI/ML for Google Workspace, you will be responsible for designing, developing, testing, deploying, maintaining, and enhancing large scale software solutions. You will provide technical leadership on high-impact projects, manage project priorities, deadlines, and deliverables. You will facilitate alignment and clarity across teams on goals, outcomes, and timelines, and influence and coach a distributed team of engineers. Additionally, you will lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.

This role requires a minimum of 8 years of experience in software development and with data structures/algorithms, 5 years of experience testing and launching software products, and 3 years of experience with software design and architecture. You should also have 5 years of experience with one or more of the following: Speech/audio technology, reinforcement learning, ML infrastructure, or specialization in another ML field. Furthermore, 5 years of experience leading ML design and optimizing ML infrastructure is required.

Preferred qualifications include a Master's degree or PhD in Engineering, Computer Science, or a related technical field, 3 years of experience in a technical leadership role leading project teams and setting technical direction, and 3 years of experience working in a complex, matrixed organization involving cross-functional and/or cross-business projects.

Google offers a competitive salary range, bonus, equity, and benefits package. They are committed to building a diverse and inclusive workforce and provide equal employment opportunities to all applicants.