
Natural Language Processing Technologist
1 day ago
- Lead the advancement of natural language processing and large language models using large-scale data.
- Conduct research in optimizing architectures, multimodal learning, self-supervised representation learning, cross-task unified learning, dataset construction, and reinforcement learning with human feedback.
- Develop technologies for large language models and promote their application in business scenarios, such as content understanding and generation, AI digital human technologies.
- Research and develop natural language processing technologies in areas like dialogue systems, semantic understanding, and intelligent question answering.
Requirements:
- A master's degree or higher in natural language processing, artificial intelligence, machine learning, or a related field, or equivalent practical experience.
- Experience in large language models or generative AI.
- A strong background in natural language processing, demonstrated research achievements in natural language understanding, machine learning, deep learning, or multimodal learning.
- Proven research capabilities in large language models, preference for candidates with published high-quality papers in top conferences.
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