工作职责:

Responsibilities:
- Responsible for direction planning and key technological advancements in Natural Language Processing / Multimodal Large Language Models techniques based on large-scale data.
- Research areas include but are not limited to optimizing architectures for large language models, multimodal learning, self-supervised representation learning, cross-task unified learning, dataset construction, RLHF, etc.
- Aim to lead in the industry by developing LLMs technologies and promoting application in business scenarios, including but not limited to multimodal content understanding and generation, AI digital human technologies, etc.
- In charge of the research and development work for NLP technologies in areas such as dialogue systems, semantic understanding, and intelligent question answering.

任职要求:

Qualifications:
- Master’s degree or higher in Natural Language Processing, Artificial Intelligence, Machine Learning, or related fields.
- Rich experience in large language models or generative AI.
- At least 2 years of experience in natural language processing, with solid research achievements in natural language understanding, machine learning, deep learning, and multimodal learning areas.
- Excellent research capabilities in large language models, with preference given to those who have published high-quality papers in top conferences such as AAAI, ICLR, NeurIPS, ICML, ACL, EMNLP, CVPR, JMLR, etc.