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- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with Android application development.
- Experience with AI Platforms.
- Master's degree or PhD in Computer Science or a related technical field.
- 2 years of experience with data structures and algorithms in an academic or industry setting.
- 2 years of experience with performance, systems data analysis, visualization tools, or debugging.
- Experience with Generative AI or Gemini.
- Experience with image processing, computer vision, or machine learning applications.
In this role, you will collaborate with leading Artificial Intelligence (AI) teams from DeepMind and Google to design and build AI-first experiences for Android users. You will have the opportunity to work with technologies like Gemini, Astra, and Circle to Search, and contribute to products that transform how users game, stay safe, get tech support, and learn.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
- Investigate, design and implement solutions to bring Google Artificial Intelligence (AI) on different Android Surfaces.
- Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Lead design reviews with peers and stakeholders to select among available technologies.
Key Skills
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