1. Responsible for the research and development of core algorithms in cognitive intelligence and natural language processing;
2. Responsible for research, data analysis,……
1. Responsible for the research and development of core algorithms in cognitive intelligence and natural language processing; 2. Responsible for research, data analysis, model training, performance analysis and optimization related to NLP tasks; 3. Engage in ensuring the effectiveness and continuous optimization of natural language processing and cognitive intelligence functions in the company's related products and systems; 4. Interface with upstream and downstream personnel in product, data annotation, testing, and development services to ensure that related product R&D tasks achieve expected results, and collaborate with relevant personnel to complete project initiation, project closure, user experience analysis, and other tasks; 1. Master's degree or above in computer science, signal processing mathematics, software engineering, electronics and communications, automation, or related fields; more than 3 years of NLP R&D-related work experience for master's degree holders / more than 2 years for doctoral degree holders; solid research or development experience in fields such as natural language processing and human-computer interaction; candidates with particularly strong NLP/NN technical capabilities may not be subject to major restrictions; 2. CET-6 or above, with the ability to conduct research on Chinese and English academic papers. 3. Practical project experience in the NLP field; have served as the main person responsible for a project and conducted R&D on related products; deep understanding and hands-on experience with the latest developments, models, and algorithms in fields such as deep learning, natural language processing, and big data; 4. Familiar with at least one programming language such as Python and C++; familiar with programming and development environments under Linux; familiar with data structures and common algorithms. 5. Research experience and foundation in deep learning, reinforcement learning, and knowledge graphs; familiar with mainstream deep learning frameworks such as pytorch, and experience in model training and parameter tuning; 6. Good communication skills and teamwork spirit, conscientious and responsible, strong logical thinking ability, strong communication skills, strong sense of responsibility, hardworking and able to endure hardship, able to actively and proactively face work, and possess a strong passion for AI R&D and the industrialization of applications;