Google is looking to solve the problem of developing scalable and robust agentic AI solutions for high-value, real-world multimodal conversational AI use cases on smart glasses, utilizing Gemini Live and Astra to create a unique and trusted multimodal experience.
Requirements
- 2 years of experience with software development in one or more programming languages.
- 1 year of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- 1 year of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 3 years of experience with data structures/algorithms.
- Experience conducting applied research to enable new functionality and improve the quality and efficiency of large language and multimodal models.
- Experience with information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile
Responsibilities
- Design, develop, and deploy scalable and robust agentic AI solutions for high-value, real-world multimodal conversational AI use cases on smart glasses.
- Gain a deep understanding of the Gemini Live and Astra tech stack and infrastructure.
- Optimize agent architecture/orchestration to ensure efficient deployment and operation at scale, with a focus on inference cost optimization.
- Take ownership of AI quality for production systems.
- Implement, optimize, and advance state-of-the-art AI techniques, with a focus on multimodal multimodal conversational quality, multimodal tool use and multimodal goal-oriented reasoning.
- Drive progress through rapid experimentation, proposing and validating hypotheses, implementing and testing new ideas, and iterating quickly to find optimal solutions.
- Manage project priorities, deadlines, and deliverables.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in computer science, mathematics, applied stats, machine learning or equivalent practical experience.
- 1 year of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- Ability to display leadership qualities and be enthusiastic to take on new problems across the full-stack.
- Ability to 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.
