Principal Multimodal LLM Research Scientist, XR

Google Inc.

San Jose (CA)

On-site

USD 307,000 - 427,000

Full time

10 days ago
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Job summary

Google's Android XR team is seeking a Principal Multimodal LLM Research Scientist to lead research defining the future of spatial intelligence. You will direct a team to advance deep learning, pre-training, and multimodal understanding for XR products, enabling natural, context-aware interactions in real world and virtual environments.

The role involves publishing in leading conferences, mentoring researchers, and translating breakthroughs into scalable strategies for consumer-facing hardware,

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.

Responsibilities

  • 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.

Skills

Deep learning
Multimodal AI
Research leadership
Distributed training

Education

Bachelor's degree in Computer Science/AI/Physics or equivalent
PhD in CS/ML or related field

Job description

Google's Android XR team is seeking a Principal Multimodal LLM Research Scientist to lead research defining the future of spatial intelligence. You will direct a team to advance deep learning, pre-training, and multimodal understanding for XR products, enabling natural, context-aware interactions in real world and virtual environments.

The role involves publishing in leading conferences, mentoring researchers, and translating breakthroughs into scalable strategies for consumer-facing hardware,

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