Advances in Human-Level Multimodal Intelligence
6 days ago
As a key member of our Multimodal Interaction & World Model team, you will be responsible for developing cutting-edge AI foundation models that drive human-level multimodal understanding and interaction capabilities.
">- The ideal candidate will have expertise in multimodal understanding, generative machine learning, reinforcement learning, and computer vision.
- Responsibilities include exploring and researching multi-modal understanding, generative, machine learning, reinforcement learning, AIGC, computer vision, artificial intelligence, and other cutting-edge technologies.
- You will develop large-scale/ultra-large-scale multi-modal understanding and generation interweaving, and optimize system performance through data construction, instruction fine-tuning, preference alignment, and model optimization.
- Pioneer advanced capabilities of multi-modal models and world models, including but not limited to multi-modal RAG, visual COT, and Agent, and build a universal multi-modal Agent for GUI/games and other virtual worlds.
Welcome to the Multimodal Interaction & World Model team, comprising experienced research scientists and engineers dedicated to developing human-level multimodal understanding and interaction capabilities.
">Key Skills: multimodal understanding, generative machine learning, reinforcement learning, computer vision, artificial intelligence, multi-modal RAG, visual COT, and Agent development
">What We Offer: opportunity to work on cutting-edge AI projects, collaboration with experienced researchers and engineers, professional growth and development
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