About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

As an Engineering Manager for Machine Learning, you'll have the opportunity to create the next generation AI/ML solutions for the IT and Support business to drive efficiencies at scale.

The team will work in a technology environment, identify how agentic automation can enable efficiencies and savings, build ML models to address these gaps, and fine tune model responses.

At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google's IT organization, we provide end-to-end solutions for organizations across Google. With an inclusive mindset, we deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

Responsibilities

• Lead a team of software engineers, driving technical strategy and execution of key AI/ML projects, ensuring timely delivery and high quality.
• Drive ML projects by using in the latest techniques and approaches in ML.
• Drive engineering projects and build applied-ML products.
• Work with leadership across functions and organizational boundaries to identify opportunities that drive the idea for the space.