About KRAFTON AI Research Division
The KRAFTON AI Research Division collaborates with various internal and external fields to provide AI solutions for diverse problems and develops our own services through proprietary deep learning technology research. Our direction is broadly twofold:
- Increasing game production efficiency and universality through the development of deep learning technology that can assist in game creation.
- Developing unique deep learning technology and applying it to various applications both within and outside of games.
About the AI Companion Team (R&D)
The AI Companion Team develops AI Companions that interact with users, formulate strategies, and cooperate within KRAFTON internal games by applying LLM, SLM, and VLM.
- Our goal is to provide an immersive play experience where AI agents team up with players in real-time game environments.
- We aim to help users adapt stably by understanding game situations and proactively providing guidance.
- We lead the entire process from optimized model design to operation.
Culture Fit: Members of the AI Research Division are not confined to their own fields but interact and collaborate with team members from different projects to propose creative ideas for various problems. Our team is composed of individuals with diverse cultural backgrounds, and we actively support methods to overcome language barriers for active communication.
Responsibilities
- Design innovative game play experiences using the latest AI technologies such as LLM, SLM, VLM, and Human-AI Interaction.
- Optimize the computational efficiency of various language/multimodal models that process text and visual inputs to respond to real-time interactions and large-scale concurrent access environments that occur in gaming.
- Collaborate with game designers, engineers, and others to apply AI Companions to actual game projects, performing joint work with the goal of improving player experience.
- Build and continuously improve feedback loops for model enhancement through analysis of user data and game logs.
Required Qualifications
- Currently pursuing a Master's or Ph.D. in Artificial Intelligence (AI), Computer Science, or a related technical field.
- Project experience with one or more of LLM, SLM, VLM.
- Experience utilizing Deep Learning frameworks such as PyTorch.
- No disqualification for overseas business trips.
Preferred Qualifications
- Outstanding research achievements such as first-author publications or awards at renowned conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, NAACL, etc.).
- Experience serving language models using vLLM, llama-cpp, SGLang, etc.
- Experience utilizing frameworks such as LLama Index, LangGraph.
- Experience in multimodal learning and inference.
- Excellent communication skills to interact smoothly with other roles (game planning, art, business, etc.).