Google needs to solve complex engineering challenges and expand its infrastructure to reimagine what it means to search for information, while maintaining a universally accessible and useful experience for billions of people globally.
Requirements
- 2 years of experience with software development in Python, or 1 year of experience with an advanced degree.
- 1 year of experience with core GenAI concepts (e.g., Large Language Models, Multi-Modal, Large Vision Models, etc.).
- Experience with Generative AI Agent.
- Experience conducting and analyzing metrics and experiments (e.g., A/B testing).
- Experience with text, image, video, or audio generation.
- Experience coding in C++
- Experience working with Large Language Models (LLMs) in a production environment.
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).
- 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.
- Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science, or a related technical field.
- Display leadership qualities and be enthusiastic to take on new problems across the full-stack.
- Versatility to work on a specific project critical to Google’s needs with opportunities to switch teams and projects.
- Ability to work in a fast-paced business environment.
