Responsibilities:

📍Drive core technology development for LLM, continuously optimizing comprehension, reasoning, and generation capabilities. 📍Collaborate with cross-functional teams, to integrate advanced LLM solutions into existing systems, ensuring seamless operation and maximum impact. 📍Work closely with prompt engineers to refine and optimize prompt design, enabling more accurate and contextually relevant outputs from LLMs. 📍Conduct cutting-edge research to stay ahead of the latest developments in LLM and AGI technologies, applying these advancements to solve complex business challenges. 📍Develop scalable and robust LLM frameworks that can be adapted to various domains, driving innovation and maintaining a competitive edge in the market.

Requirements:

📍PhD degree required, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, OSDI, NSDI, SC and SigMOD, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields. 📍Programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred. 📍Research experience in the field of machine learning, especially in large language models (LLMs) and generative artificial intelligence. 📍Excellent problem analysis and solving skills, and passionate about solving challenging problems. 📍Passionate about technology, good communication skills and teamwork spirit.