Plan direction and drive key technological advancements in Natural Language Processing (NLP) and Multimodal Large Language Models (LLMs) using large-scale data.
Conduct research in areas including but not limited to optimizing architectures for large language models, multimodal learning, self-supervised representation learning, cross-task unified learning, dataset construction, and reinforcement learning with human feedback (RLHF).
Contribute to industry leadership by developing LLM technologies and promoting their application in business scenarios, such as multimodal content understanding and generation, and AI digital human technologies.
Lead research and development of NLP technologies in areas such as dialogue systems, semantic understanding, and intelligent question answering.
Job Qualifications:
Master's degree or higher in Natural Language Processing, Artificial Intelligence, Machine Learning, or related fields, or equivalent practical experience.
Relevant experience in large language models or generative AI.
Strong background in NLP, with demonstrated research achievements in areas such as natural language understanding, machine learning, deep learning, or multimodal learning.
Proven research capabilities in LLMs, with preference for candidates who have published high-quality papers in top conferences such as AAAI, ICLR, NeurIPS, ICML, ACL, EMNLP, CVPR, or JMLR.
Han Tze Hui (Yunne) Adecco Personnel Pte Ltd| EA LIcence No.91C2918 | Personnel Registration No: R24120833
