About KRAFTON AI Research Division
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 largely twofold:
- Increase game production efficiency and universality through the development of deep learning technology that can aid in game creation.
- Develop unique deep learning technology and apply it to various applications within and outside of games.
About the AI Companion Team
The AI Companion Team develops AI Companions that interact with users, formulate strategies, and collaborate, applying LLM, SLM, and VLM within KRAFTON's internal games.
- Our goal is to provide an immersive gameplay experience where AI agents work as a team with players in real-time game environments.
- We aim to autonomously understand game situations and provide proactive guidance to users, helping them adapt stably.
- We lead the entire process from optimized model design to operation.
Your Mission with Our Team
- Design innovative game-play experiences utilizing cutting-edge 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 in game settings.
- Collaborate with game designers, engineers, and others to apply AI Companions to actual game projects, working jointly to enhance player experience.
- Establish a feedback loop for model improvement through analysis of user data and game logs, and continuously refine the models.
Required Qualifications
- Currently pursuing a Master's or Ph.D. degree 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 prestigious 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 with multimodal learning and inference.
- Excellent communication skills with other job functions (game planning, art, business, etc.).
Employment Details
- Workplace: Yeoksam Centerfield
- Employment Type: Intern (3 months, not eligible for conversion to regular full-time employment)