Software Engineer, AI Foundations

Software Engineer, AI Foundations

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.

In this role, you will be responsible for enhancing the development and deployment experiences for intelligent applications on Pixel and Android, leveraging the latest on-device and server based models. This includes tasks such as platform design, model evaluation methodologies, metrics design, and data analysis. You will be collecting, training, and evaluating data and Machine Learning (ML) quality for a variety of use cases, working with teams across Google to design and implement new infrastructure and tooling for Pixel and Android Artificial Intelligence (AI) development.

Responsibilities

• Design tools/platforms/frameworks to enhance intelligent applications development, with focus on model evaluation, quality, and performance on Pixel and Android in a private and safe manner.
• Craft evaluation datasets, metrics, and pipelines to understand, evaluate and optimize the behavior of our models, platform and algorithms. Possibly support a multitude of user facing features that rely on the quality and performance of these algorithms, as running on-device and across different interfaces.
• Support a multitude of user-facing features that rely on the quality and performance of these algorithms, as running on compute-constrained embedded systems.
• Interface with multitude of teams across Product Areas and cross-functional partners to influence cross-team priority and roadmap.
• Clarify product and technical ambiguities with fast prototyping and metrics driven development processes.