Staff Ai Research Scientist, Applied Ai, Google Cloud

Google

Sunnyvale, CA, United States
Base: $207,000-$300,000; bonus/equity: included; b...
Not specified (assumed hybrid based on current industry trends)
Scalable agentic ai solution design
Production system quality ownership
Machine learning evaluation frameworks
Google is seeking a Staff AI Research Scientist for its Applied AI team in Sunnyvale, CA, to drive the development and deployment of scalable AI solutions for enterprise applications. The role emphasizes technical leadership, innovation, and collaboration within a fast-paced environment focused on advancing conversational AI technologies

Job Summary

  • The role involves designing, developing, and deploying scalable and agentic AI solutions for enterprise use cases across finance, sales, marketing, and retail.
  • Team members will take ownership of AI quality by defining technical metrics, implementing evaluation frameworks, and driving improvements through system changes.
  • The position offers the opportunity to work at the forefront of AI with unprecedented speed, collaborating directly with model builders to shape the future of AI.

Matching Summary

Match Score: 85

Google is seeking a Staff AI Research Scientist for its Applied AI team in Sunnyvale, CA, to drive the development and deployment of scalable AI solutions for enterprise applications. The role emphasizes technical leadership, innovation, and collaboration within a fast-paced environment focused on advancing conversational AI technologies.

Salary

Base: $207,000-$300,000; Bonus/Equity: Included; Benefits: Not specified

Skills & Requirements

Must-have

  • Scalable agentic AI solution design
  • Production system quality ownership
  • Machine learning evaluation frameworks
  • Training-free and training-based approaches
  • Hypothesis-driven experimentation cycles

Nice-to-have

  • User-centric perspective on innovation
  • Startup agility in deployment
  • Collaboration with model builders
  • Technical leadership and code reviews
  • Publishing findings to research community

Key Requirements

  • Experience with machine learning and deep learning
  • Background in natural language processing or data mining
  • Proven track record in deploying production AI systems

Work Rights

Not specified

Tailored Resume

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