Staff Applied AI Agent Developer
Google · Waterloo, Canada | Toronto, Canada | New York City, NY | Sunnyvale, CA
About this role
Google is hiring a staff-level Applied Scientist in the machine learning function based in Waterloo, Canada | Toronto, Canada | New York City, NY | Sunnyvale, CA. The posting calls out experience with BigQuery, LLMs, Reinforcement Learning, Data Structures. Compensation is listed at $207,000–$300,000 per year.
- Role
- Applied Scientist
- Function
- machine learning
- Level
- staff
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Waterloo, Canada | Toronto, Canada | New York City, NY | Sunnyvale, CA
- Posted
- May 6, 2026
More roles at Google
Job description
from Google careersGoogle's software developers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for developers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software developer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our developers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
As a Staff Applied AI Agent Developer, you will be at the forefront of applying Google's Generative AI to solve real-world challenges for our most strategic customers. You will act as a specialized software developer embedded with key accounts, working direct to build, deploy, and optimize sophisticated AI agents on our platform. This is a high-impact role that bridges the gap between our core product development teams and complex customer needs, directly accelerating customer success and shaping the future of our AI products.