Job Description

• Responsible for the application and implementation of AIGC (generative AI) technology in the game field, such as NPC dialogue generation, game environment construction, task plot design, character modelling, animation generation, level design, character behaviour modelling, intelligent NPC, game music, etc.;

• Responsible for the research and development of text generation (ChatGPT, GPT4, etc.), image generation (Diffusion, GAN, VAE, etc.), sound and video generation technologies for the game field, research on style transfer, generative confrontation network, conditional GAN and other technologies to achieve individuality personalized and diversified gaming experience, efficiently integrate algorithms into the game content production process and real-time rendering;

• Explore cutting-edge AIGC technology research, continue to pay attention to the latest progress of large-scale models in the industry, and make technological breakthroughs based on the future needs of the industry to achieve short-term and long-term commercial value; at the same time, pay close attention to the ethical and security applications of AIGC technology;

• Collaborate with team members to develop, communicate across departments, and provide AIGC technology-related support and solutions to ensure the smooth progress of business;

• Understand the basic principles and usage methods of game engines (such as Unity, Unreal Engine, etc.), and be able to effectively cooperate with the game development team;

• Have a good understanding of AIGC common tools and technologies in the game field, such as Promethean AI, game level generation technology (such as PCG, Procedural Content Generation), etc.;

• More than 5 years of working experience in natural language processing (NLP), computer vision (CV) or artificial intelligence (deep learning, reinforcement learning) and other related fields, computer-related master\'s or doctoral degree is preferred;

• Have in-depth understanding and practical experience in the details of large model training, such as hyperparameter adjustment, model fine-tuning (Finetune), distributed training, model compression and optimization techniques, etc.;

• Familiar with the application of interpretable AI technology and unsupervised, semi-supervised, reinforcement learning and transfer learning methods in the field of games;

• Have practical experience in the implementation and application of common large-scale model technologies such as GPT, Stable Diffusion, and Llama, and understand their limitations and optimization methods;

• Proficient in programming languages such as Python and C++, familiar with common deep learning frameworks (such as PyTorch, TensorFlow, etc.), and able to efficiently train and deploy on platforms such as GPU/TPU;

• Experience in publishing papers at top conferences in ACL, EMNLP, CVPR, NIPS, ICLR, AAAI, KDD and other fields is preferred, with solid theoretical knowledge and insight into cutting-edge technologies;

• Have strong teamwork and communication skills, be able to work closely with team members and promote project progress; have excellent problem-solving and innovation skills

• Love the game industry, have a certain understanding and awareness of the game field, be familiar with the basic process of game design and development, and understand the development prospects and trends of the game industry;

• Possess the ability to analyze and solve problems, and have keen insight and innovative thinking on the needs of game projects;

• Continue to track the development trend of new technologies to improve the competitiveness of the game business in the market.