Salary: 0-0K
Experience requirements: Experience is not limited
Educational requirements: None
Job Description:
Job Responsibilities:
1. Responsible for the overall design and R & D planning of technical application schemes in the fields of large model construction, multimodal learning, deep text understanding and generation algorithms, reinforcement learning, etc.
2. Focus on the technical landing of specific application scenarios such as knowledge map question-answering system, Text2Sq1 conversion, information summary and instruction extraction, role-playing dialogue system and intelligent content creation.
3. Participate in LLM training and platform construction, investigate, track and reproduce the latest progress and effect of the generative model, and realize the application of technology in the core business products of the department.
4. Build a large industry model technology system that can be quickly adapted and implemented, and explore and support application scenarios in the industry, including but not limited to knowledge services such as intelligent question answering and retrieval enhancement.
5. Cooperate with the business needs of the department, provide technical support and solutions, and improve the overall level of product intelligence.
Job requirements:
1. Doctor or postdoctoral, artificial intelligence, big data, electronic information and other related majors are preferred.
2. Proficient in the theory of artificial intelligence, grasp the latest development trend, have solid algorithm research and development capabilities and good code implementation skills.
3. Deep understanding and practical experience in large model training optimization, multi-modal learning algorithm, NLP/CV and other related technologies
4. In the field of large models, those who have led influential projects, or those who have pre-trained models related to NLP, CV, video and their downstream applications are preferred.
5. Published in top NLP conference journals (NeurIPS, ICML, ICLR, CVPR.
ICCV, ACL, KDD, etc.).
Please send your CV or resume as an attachment to the following email address:
mailto: rbhr@hrcenter.co.uk
With the subject line formatted as: 'Name + Position + Company Name + Location'.