Google is looking to develop the next generation of conversational AI solutions for smart glasses, utilizing Gemini Live and Astra to create a unique and trusted multimodal experience. This technology aims to deliver instant, natural conversational intelligence directly to users, allowing them to navigate their world more immersively. The role is at the forefront of the convergence of AI and XR, reimagining how we interact with the world by augmenting human intelligence with helpful AI in lightweight XR devices.
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.
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.
- design, develop, test, deploy, maintain, and enhance software solutions.
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.
- We need our engineers 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.
- With your technical expertise you will manage project priorities, deadlines, and deliverables.
