Google Search is reimagining how users search for information, requiring solutions to complex engineering challenges and infrastructure expansion to maintain a universally accessible and useful experience for billions of users globally.
Requirements
- 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 with Large Language Models (LLMs) (e.g., Prompt Engineering, solutioning using APIs).
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
- Experience in API design and building systems and tools.
- 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).
- 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 solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
- Create infrastructure on top of LLMs and train those models.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical fields.
- Versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack.
- Make an impact on billions of people globally.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
