Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Products need to handle information at massive scale, and extend well beyond web search. The ML, Systems, & Cloud AI (MSCA) organization designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services and Google Cloud, prioritizing security, efficiency, and reliability.
Requirements
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
- Experience in Generative AI (Large Language Models, Multi-Modal, Large Vision Models), and with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other ML discipline.
- 2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
- 2 years of experience with data structures or algorithms in either an academic or industry setting.
- Experience developing accessible technologies.
Responsibilities
- Design, develop, test, deploy, maintain, and enhance software solutions.
- Write 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.
Other
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack.
- Manage project priorities, deadlines, and deliverables.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
