Large Language Model Algorithm Engineer

More than 5 years of research and work experience in the NLP field, with a background in computer science or related fields
Familiar with the theoretical foundations of NLP, mastering statistical models and machine learning principles, with hands-on NLP experience and participation in related projects
Familiar with the principles and training methods of leading industry LLMs (such as the GPT series, DeepSeek, LLaMA series, etc.)
Experience in fine-tuning large models, with familiarity in distributed training and debugging of large models preferred
Experience in text generation, dialogue systems, and game AI preferred
Academic achievements in top NLP conferences or journals preferred

Responsible for building LLMs for the gaming field, including pre-training, instruction fine-tuning, post-training, training and inference acceleration, evaluation, and more, to maintain a leading position in the industry
Establish and improve the theoretical and engineering systems for large language models in games, exploring the application of LLM technology in game AI scenarios, providing intelligent model capabilities for game operations, NPC interaction experiences, and other aspects
Track and explore the cutting-edge technologies and applications of large language models.