Staff Software Engineer, AI Innovation And Research

Staff Software Engineer, Ai Innovation And Research

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. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities:

• Lead and mentor a team of AI/ML engineers, guiding them in the development, training, evaluation, and deployment of scalable AI/ML models, ensuring successful integration into production systems.
• Collaborate with platforms and devices product teams and research teams to define and deliver AI-based features, anticipating future needs.
• Foster relationships and facilitate collaboration with the Mountain View-based team, leveraging their proximity and partnerships with platforms and devices product teams to maximize team efficiency and overall impact.
• Identify common needs across multiple engagements, driving the development of shared infrastructure and foundational models that serve as a common tool set and blueprints for accelerated future engagements.
• Advocate knowledge transfer and cultivate AI expertise within the Platforms and Devices product teams, enabling them to separately lead and execute future AI-driven initiatives.