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About the role
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.
What they're looking for
- 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
More about this role
- 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.
- 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.
- PhD in Computer Science, Machine Learning, or a related field with a focus on Multimodal AI or Computer Vision.
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