Google's Extended Reality (XR) mission is to give people superhuman abilities by making information instantly and intuitively accessible. The team is working to advance the artificial intelligence for the next generation of wearable computers that are immersive, spatially aware, and contextual. In this role, you will conduct development on Large Language Models (LLMs) and agents, particularly in the multimodal domain (vision, audio), focusing on developing more capable Artificial Intelligence (AI) for XR devices (glasses, goggles). This role offers an opportunity to contribute to AI research and seeing your work define the next-generation of computing products.
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.
- 2 years of experience in software development (e.g., deep learning, perception, or computer vision).
- Experience in C++, Python, Generative AI, Machine Learning.
- Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
- Experience with multimodal learning, large language models or AI agents.
- Experience with prompt engineering, few-shot learning, post-training techniques, and evaluations.
Responsibilities
- Develop algorithms/models to enhance AI agents for XR devices using techniques like prompting, few-shot learning, post-training techniques to improve model performance and real-world XR scenarios.
- Write production-quality C++/Python code and tests.
- Create a comprehensive evaluation plan, from dataset development to Key Performance Indicator (KPI) definitions and measurements.
- Identify, implement and ship the latest modeling innovations including, orchestration, multimodality, tool integrations, memory, hybrid agent architectures and personalization.
- Prove out concepts through rapid prototyping and iterative development through team testing in close partnership with the XR product teams.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical field.
- 1 year of experience in a technical leadership role.
- Familiarity with large-scale model training and deployment.
- The US base salary range for this full-time position is $166,000-$244,000 + bonus + equity + benefits.
