Track record of deploying AI/ML models and algorithms.

Curiosity and passion for staying at the forefront of technology, AI, and ML advancements.

About the job

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.

Android Runtime for Chrome (ARC) enables Android apps to run on Chrome OS. The overall ARC team's mission is to bring the best apps and games to Chrome OS by designing and building the Android on desktop experience.

Chrome OS delivers quality computing at scale to provide universal and unfettered access to information, entertainment, and tools. Our mission is to empower anyone to create and access information freely through fast, secure, simple, and intelligent computing.

Responsibilities

• Enable AI capabilities for ChromeOS App developers.
  
• Improve the user experience of Android apps on ChromeOS through improvements to Android Frameworkand ChromeOS system.
  
• Build and maintain automated tests to ensure that Android apps and system services meet performance expectations on ChromeOS.
  
• Collaborate with ChromeOS Machine Intelligence and ODML teams on delivering on-device models for Android large screen and desktop.
• Stay up-to-date with the latest advancements in AI/ML technologies, frameworks, and tools. Evaluate potential impact and relevance to developer productivity.