Google Cloud is looking to solve the problem of developing next-generation technologies that change how billions of users connect, explore, and interact with information and one another, with a focus on AI, Infrastructure, and hyperscale computing.
Requirements
- 8 years of experience in software development with Python, Java or C++
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)
- 5 years of experience in ML driven workflows, AI based assistants, intelligent agents, agentic frameworks
- 3 years of experience with software design and architecture
- Experience conducting applied research to improve the quality and production agents
- Understanding of data model, API layer, UI and application development environments of at least one of the major SaaS providers
- 5 years of experience working with Large Language Models (LLMs)
Responsibilities
- Drive the design and implementation of multimodal agentic experiences, creating systems that can understand and interact with the world through various modalities.
- Define the technical goal and long-term strategy for multi-agent orchestration across disparate data, api and agentic platforms, driving adoption of Gemini, Google Agent Cloud platform.
- Design and implement highly scalable evaluations infrastructure and processes to support onboarding and usage of multimodal agentic systems across platforms.
- Provide AI expertise to guide the technical relationship with Google’s customers and partners, helping them build large-scale model evaluation for workflows, business applications and agentic solutions on Google Cloud Platform.
Other
- Bachelor’s degree in Computer Science, Mathematics, Applied Statistics, Machine Learning, or equivalent practical experience
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field (preferred)
- 3 years of experience in a technical leadership role, guiding project teams and technical direction while applying and productionizing large visual, language, and multimodal research (preferred)
- Ability to work in a fast-paced environment and adapt to changing priorities
- Commitment to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
