The AI Research Scientist role at Google Cloud focuses on developing and deploying scalable AI solutions for enterprise applications across various domains. The team emphasizes innovation and user-centric design while working on cutting-edge projects in applied AI. As part of the Cloud Applied AI team, you will engage in research and experimentation to drive progress and influence the development of AI technologies. This position requires collaboration with model builders and other researchers to address real-world problems using advanced AI techniques.

• PhD in Computer Science, a related field, or equivalent practical experience.
• 2 years of experience leading a research agenda.
• 2 years of experience with machine learning algorithms and tools, or Applied ML.
• Coding experience in Python, JavaScript, R, Java, or C++.
• One or more scientific publication submission(s) for conferences, journals, or public repositories.

• Design, develop, and deploy scalable and agentic AI solutions for enterprise use cases.
• Take ownership of AI quality for production systems by defining technical metrics and implementing evaluation frameworks.
• Implement, optimize, and advance AI techniques using both training-free and training-based approaches.
• Drive progress through experimentation cycles by proposing hypotheses and analyzing results.
• Provide technical leadership on projects and facilitate clarity on goals and timelines.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.