Accelerate research in strategic projects that enable trustworthy, robust and reliable agentic systems with a group of research scientists and engineers on a mission-driven team. Together, you will apply ML and other computational techniques to a wide range of challenging problems. The primary focus will be on building technologies to make AI agents safer. AI agents are increasingly used in sensitive contexts with powerful capabilities, having abilities to access personal data, confidential enterprise data and code, interact with third party applications or websites, or write and execute code in order to fulfil user tasks. Ensuring that such agents are reliable, secure and trustworthy is a large scientific and engineering challenge, with huge potential impact.
Requirements
- Strong programming experience.
- Demonstrated record of python implementations of LLM pipelines.
- Quantitative skills in maths and statistics.
- Experience with common scripting languages and pipelining tools.
- Experience in applying machine learning techniques to problems surrounding scalable, robust and trustworthy deployments of models.
- Experience with GenAI language models, programming languages, compilers, formal methods, and/or private storage solutions.
Responsibilities
- Develop frameworks to evaluate the safety, security and privacy of agentic AI systems at scale across key usecases at Google and GDM
- Work on agent orchestration prototypes combining multiple AI components to reliably solve complex tasks in nuanced scenarios
- Build leaderboards and evaluation metrics for the project to hill-climb
- Integrate novel agentic technologies into research prototypes
- Work with product teams to gather research requirements and consult on the deployment of research-based solutions to help deliver value incrementally
- Amplify the impact by generalizing solutions into reusable libraries and frameworks for privacy preserving AI agents across Google, and by sharing knowledge through design docs, open source, or external blog posts
Other
- Bachelor in computer science, security or related field, or equivalent practical experience
- Passion for accelerating the development of secure agents using innovative technologies.
- Demonstrated success in creative problem solving for scalable teams and systems
- A real passion for AI!
