Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Labs is a group focused on incubating early-stage efforts in support of Google’s mission to organize the world’s information and make it universally accessible and useful. Our team exists to help discover and create new ways to advance our core products through exploration and the application of new technologies. We work to build new solutions that have the potential to transform how users interact with Google. Our goal is to drive innovation by developing new Google products and capabilities that deliver significant impact over longer timeframes.
Requirements
- 5 years of experience with software development in Python
- Experience in Machine Learning/AI Infrastructure.
- Experience with Large Language Models (LLMs) (e.g., Prompt Engineering, applications for ML, evaluations, post-training).
- Experience designing and implementing autonomous, multi-step AI agents that use LLMs to reason, plan, and execute tasks.
Responsibilities
- Design, develop, and evaluate the next generation of software development agents using code-based Large Language Models (LLMs).
- Work specifically on developing an AI agent for Stitch, an AI code agent optimized for creating high-quality, well-designed user interfaces.
- Collaborate closely with software engineers, research scientists, and product managers to integrate LLM agents into new products and surfaces.
- Translate research concepts and prototypes into scalable, and production-ready Artificial Intelligence (AI) systems.
- Apply a solid understanding of software development practices, machine learning algorithms, and data engineering principles to drive project success.
Other
- Bachelor’s degree or equivalent practical experience.
- PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.
- The application window will be open until at least September 3, 2025.
- This opportunity will remain online based on business needs which may be before or after the specified date.
- Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; Mountain View, CA, USA.
