Lead Multimodal LLM Research Scientist, XR Spatial AI

Google Inc.

San Jose (CA)

On-site

USD 307,000 - 427,000

Full time

12 days ago
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Job summary

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

The role emphasizes translating breakthroughs into scalable strategies for consumer hardware, publishing in top conferences, and mentoring engineers within the Platforms and Devices group.

Qualifications

  • Bachelor's degree in a technical field or equivalent practical experience.
  • 15 years of experience in deep learning research.
  • Experience leading research teams and delivering innovations.
  • Experience with modern DL frameworks and distributed training.

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 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 research
Multimodal / language models
Leadership
Distributed training
Modern DL frameworks

Education

Bachelor's degree in CS/AI/Physics
PhD (preferred)

Tools

PyTorch
TensorFlow

Job description

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

The role emphasizes translating breakthroughs into scalable strategies for consumer hardware, publishing in top conferences, and mentoring engineers within the Platforms and Devices group.

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