Research Scientist - Foundation Model

About the AI Research Division

Since 2021, KRAFTON has identified deep learning as a new area to expand its game production capabilities and continue new challenges, focusing on research in this field. To fully activate this, we are actively investing, including recruiting key talent.

AI Research Division Vision

The KRAFTON AI Research Division collaborates with various internal and external fields to provide AI solutions for diverse problems and develops its own services through proprietary deep learning technology research. The direction is largely twofold:

• Development of deep learning technology that can assist in game production to increase efficiency and universality.
• Development of Multi-modal LLM-based Foundation Models that can play games with users.

Foundation Model R&D

The Foundation Model Research team researches and develops core MLLM technologies based on the vision of the AI Research Division, contributing to creating new play experiences.

• Designs and builds foundation models that handle various data such as text, images, audio, and game logs.
• Accumulates theoretical and practical insights across model architecture, learning algorithms, data pipelines, and the entire evaluation process in large-scale distributed learning environments.

Culture Fit

Members of the AI Research Division interact and collaborate with team members from various fields through diverse projects, proposing creative ideas for various problems. An atmosphere that encourages free expression of opinions regardless of age and position is promoted. Members from diverse cultural backgrounds form teams, and methods to overcome language barriers, such as interpretation and translation, are actively supported for lively communication.

About the Mission

• Conduct large-scale Multi-modal LLM training and preliminary research.
• Enhance Modeling / Data / Evaluation pipelines for model performance improvement.
• Present research results as Tech Reports or papers/workshops at top-tier conferences such as NeurIPS, ICLR, ICML.

Requirements

Mandatory Qualifications

• Able to join as a new entrant to the Professional Researcher program in 2026 (eligible for master's degree or completion of integrated master's/doctoral program).
• Master's or Ph.D. in a deep learning-related field or equivalent research experience.
• Experience writing papers for top-tier journals in AI/ML (NeurIPS, ICLR, ICML, etc.).
• Ability to lead research, quickly understand deep learning-related papers, and design experiments.
• Ability to quickly adapt to new domains.
• Excellent communication skills.
• No disqualifications for overseas travel.

Preferred Qualifications

• Experience presenting/winning awards at top-tier AI/ML conferences (NeurIPS, ICLR, ICML, etc.).
• Experience in training/deploying large-scale Foundation Models of 20B parameters or more.

Work Location

Yeoksam Centerfield West Tower

Employment Type

Regular position (however, employment type may change based on candidate compensation negotiation results)