Software Engineer III, Google Play, AI Game Assistant

Software Engineer III, Google Play, AI Game Assistant

Mountain View, CA, USA

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
• 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures and algorithms.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information. Our products need to handle massive scale and span beyond web search. As a software engineer in the Android & Mobile team, you will work on a project critical to Google’s needs and have opportunities to switch teams. You will help users find great mobile games and create compelling AI-powered experiences in the Google Play Store.

Our team’s goal is to help users find great mobile games and enhance the Google Play experience with AI. Google Play offers music, movies, books, apps, and games for devices, powered by cloud services.

US base salary range: $147,000–$211,000 + bonus + equity + benefits. Salary determined by role, level, location, and experience. Additional benefits details are available on Google’s website.

• Write product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices and maintain code quality.
• Contribute to documentation and educational content, updating it based on product and program changes.
• Triage product or system issues and debug/track/resolve problems affecting hardware, network, or service operations.
• Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.

Google is an equal opportunity and affirmative action employer. We provide employment opportunities without regard to race, creed, color, religion, gender, sexual orientation, national origin, disability, age, or any other protected characteristic.

English proficiency is required for all roles unless otherwise noted.