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Google DeepMind is seeking a Research Scientist to join their team in Tokyo, focusing on advancing multimodal assistive agents (Astra). The Research Scientist will conduct research on large language models (LLMs), specifically in the multimodal domain, to develop more capable and robust assistive agents. This role offers the opportunity to contribute to AI research and collaborate with a team at Google DeepMind, translating research into real-world applications.

The role involves:

  • Conducting research to develop novel algorithms for multimodal assistive agents.
  • Designing, implementing, and evaluating multimodal assistive AI agents.
  • Collaborating with research scientists, engineers, and product teams across Google DeepMind.
  • Contributing to the development of next-generation multimodal assistive agents.
  • Exploring emerging trends and new research directions in multimodal AI.

Requirements:

  • Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Strong publication record in top-tier machine learning conferences or journals.
  • Solid understanding of deep learning, natural language processing, computer vision, and/or speech processing.
  • Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.

The role offers:

  • Opportunity to work on cutting-edge AI research.
  • Collaboration with a world-class team at Google DeepMind.
  • Potential to contribute to real-world applications.
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DeepMind

DeepMind is an artificial intelligence research company committed to advancing AI for widespread public benefit and scientific discovery. The company brings together scientists, engineers, and machine learning experts to push the boundaries of AI, focusing on responsible and ethical development. Collaboration is central to DeepMind's approach, as they work with others to address critical challenges while prioritizing safety. The company builds innovative solutions across various industries.