Android Studio Engineer, AI Benchmark Tooling
1 week ago
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
- 5 years of experience in software development.
- Experience with Android Development, AI Development or Jetpack Compose.
- Experience working on tooling, IDEs and Android UIs.
About the jobGoogle'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 is Google's mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.
Responsibilities
- Design, develop and maintain automated infrastructure to build a high quality repository of Android code examples.
- Work in integrating different agent/models with the benchmark and obtain accurate results. Build the infrastructure to collect and report results.
- Collaborate effectively across multiple teams, functions and timezones.
- Partner with Google DeepMind (GDM) to upstream the benchmark into GDM's evaluation harnes.
- Partner with Product Managers and Developer Relations Engineers.
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