Google is seeking software engineers to develop next-generation technologies that handle information at massive scale, with a focus on recommendation systems and ML infrastructure. The role involves working on critical projects for Google and YouTube, where the goal is to connect billions of users through innovative technologies and community-building platforms.
Requirements
- 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 or algorithms.
- Experience developing accessible technologies.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (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.
- Build and deploy recommendation systems models, utilize ML infrastructure, and contribute to model optimization and data processing.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical fields.
- Collaborate with peers and stakeholders through design and code reviews.
- Contribute to existing documentation or educational content.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues.
