About the Team (Project)
The KRAFTON AI Research Division collaborates with various internal and external fields to provide AI solutions for various problems, and develops our own services through proprietary deep learning technology research. The direction is broadly twofold:
- Increasing game production efficiency and universality through the development of deep learning technology that can assist in game production.
- Developing unique deep learning technology and applying it to various applications inside and outside of games.
The AI Companion Team applies LLM, SLM, and VLM in KRAFTON internal games to interact with users and develops AI Companions capable of strategizing and collaborating.
- The goal is for AI agents to become a team with players in a real-time game environment, breathing together and providing an immersive play experience.
- The goal is to independently understand game situations and provide proactive guidance to users to help them adapt stably.
- We lead the entire process from optimized model design to operation.
About the Mission
- 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 game environments.
- Collaborate with game designers, engineers, and others to apply AI Companion to actual game projects and perform collaborative work to improve player experience.
- Establish a feedback loop for model improvement through user data and game log analysis and continuously improve.
Required Experience
- Currently pursuing a Master's or Ph.D. in Artificial Intelligence (AI), Computer Science, or related technical fields.
- Project experience with one or more of LLM, SLM, VLM.
- Experience using Deep Learning frameworks such as PyTorch.
- No disqualifications for overseas business trips.
Preferred Experience
- Excellent 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 using frameworks such as LLama Index, LangGraph.
- Experience with multimodal learning and inference.
- Strong communication skills for smooth collaboration with other job functions (game planning, art, business, etc.).
Work Location
Yeoksam Centerfield
Employment Type
Internship (3 months, not eligible for conversion to full-time employment)