Requirements

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience in testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
1 year of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Nice to Haves

Master's degree or PhD in Computer Science or a related technical field.
5 years of experience with data structures/algorithms.
3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
1 year of experience in a technical leadership role.
Experience in developing accessible technologies.

Write and test product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers 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.

Opportunity to work on next-generation technologies at Google.
Versatility to switch teams and projects as the business evolves.
Be part of solving complex engineering challenges with global impact.
Equal opportunity and affirmative action employer with a commitment to diversity and inclusion.