Principal Multimodal LLM Research Scientist, XR

Google; San Jose (CA); On-site; USD 307,000 - 427,000; Full time

Job summary

Google seeks a Principal Multimodal LLM Research Scientist to lead research defining the future of spatial intelligence. You will head a team of researchers to push deep learning, pre-training, and multimodal understanding for Google’s XR products.

You will drive breakthroughs that enable vision, audio, and sensor data to work together, influencing core capabilities across Google’s platforms and devices. This role emphasizes leadership, collaboration, and impactful innovation.

Qualifications

• Bachelor’s degree in a technical field or equivalent practical experience.
• 15 years of experience in deep learning research, focusing on multimodal or language models.
• Experience leading research teams and delivering technological innovations.
• Experience with modern deep learning frameworks and distributed training on clusters.
• PhD in Computer Science, ML, or related field preferred with multimodal AI/vision focus.

Responsibilities

• Lead a research agenda focused on multimodal pre-training, architecture design, and novel deep learning techniques for spatial computing.
• Develop models that integrate vision, audio, and sensor data for unified understanding of the physical world.
• Publish original research in top ML/CV conferences to advance Google’s leadership.
• Translate research breakthroughs into scalable strategies for Android XR product organization.
• Mentor researchers and engineers, fostering high-impact innovation.

Skills

Deep learning research

Multimodal / language models

Team leadership

Distributed training on clusters

Modern DL frameworks

Education

Bachelor’s degree in CS/AI/Physics

PhD in CS/ML (preferred)

Tools

Deep learning frameworks

Job description

Minimum qualifications

• Bachelor’s degree in a technical field (Computer Science, AI, Physics) or equivalent practical experience.
• 15 years of experience in deep learning research, with a focus on multimodal or language models.
• Experience leading research teams and delivering technological innovations.
• Experience with modern deep learning frameworks and distributed training on clusters.

Preferred qualifications

• PhD in Computer Science, Machine Learning, or a related field with a focus on Multimodal AI or Computer Vision.
• Ability to bridge the gap between theoretical research and practical implementation on consumer-facing hardware.
• Deep specialized expertise in state-of-the-art multimodal pre-training strategies and transformer-based architectures.
• Significant publication record in venues demonstrating leadership in the AI research community.

About The Job

Google’s innovative search and AI technologies connect millions of people with information every day. The Android XR team is extending this mission into the physical world by creating the ultimate spatial computing platform. As a Principal Multimodal LLM Research Scientist, you will lead the research that defines the future of spatial intelligence. You will lead a team of researchers to push the boundaries of deep learning, pre-training, and multimodal understanding. Your research will directly influence the core capabilities of Google’s XR products, enabling them to understand complex, multi-sensory environments and interact with users in natural, context-aware ways.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Lead a research agenda focused on state-of-the-art multimodal pre-training, architecture design, and novel deep learning techniques for spatial computing.
• Develop groundbreaking models that integrate vision, audio, and sensor data to provide a unified understanding of the physical world.
• Publish original research in machine learning and computer vision conferences (e.g., NeurIPS, CVPR, ICML) to advance the field and represent Google’s leadership.
• Translate fundamental research breakthroughs into scalable technical strategies for the Android XR product organization.
• Mentor research scientists and engineers, providing technical direction and fostering an environment of high-impact innovation.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .