Google's XR team is at the forefront of building the next generation of conversational AI, developing agentic AI solutions for smart glasses, utilizing Gemini Live and Astra to create a unique and trusted multimodal experience. This technology delivers instant, natural conversational intelligence directly to the users, allowing them to navigate their world more immersively than ever. We're building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
Requirements
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 3 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
- 5 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.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
- The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits.
- Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
