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. The direction is broadly twofold:
- Increase game production efficiency and universality through deep learning technology development
- Develop Co-Playable Characters (CPC) that can play games with users
Foundation Model R&D
The Foundation Model Research team contributes to creating new play experiences by researching and developing core MLLM technologies based on the vision of the AI Research Division.
- Design and build foundation models that handle various data such as text, images, audio, and game logs.
- Accumulate theoretical and practical insights across model architecture, learning algorithms, data pipelines, and the entire evaluation process in large-scale distributed learning environments.
Mission with Our Team (Research Scientist)
As a Research Scientist, you will:
- Conduct large-scale Multi-modal LLM training and advanced research.
- Enhance modeling, data, and evaluation pipelines to improve model performance.
- Publish research results in the form of Tech Reports or papers/workshops at top-tier conferences such as NeurIPS, ICLR, ICML.
Required Experience
- Master's or Ph.D. degree in a deep learning related field or equivalent research experience.
- Experience in writing papers for top-tier AI/ML conferences (NeurIPS, ICLR, ICML, etc.) or relevant top-tier journals.
- Ability to lead research, quickly understand deep learning papers, and design experiments.
- Ability to quickly adapt to new domains.
- Excellent communication skills for work.
- No disqualification for overseas travel.
Preferred Experience
- Experience presenting/winning awards at top-tier AI conferences (NeurIPS, ICLR, ICML, etc.).
- Experience in training/deploying large-scale Foundation Models (30B or more).