[AI Research Div.] '26, '27년 전문연구요원 신규편입 (경력무관)
Salary not listed • Seoul • Full-time
Posted 3mo ago
This job has been open for more than 60 days. It may no longer be actively hiring, so check with the company before putting a lot into an application.
About the job
Krafton's AI Research division is dedicated to pioneering deep learning for game development and beyond. We aim to create unforgettable worlds for players through bold imagination and breakthrough technology. This role focuses on researching and developing core AI technologies, including Multimodal Foundation Models and AI Agents, to enhance existing businesses and drive new AI-driven innovations. We are looking for individuals to join our team and contribute to shaping the future of AI in gaming and interactive content.
Responsibilities
- Design and build foundation models that handle diverse data types like text, images, audio, and game logs.
- Accumulate theoretical and practical insights into model architecture, learning algorithms, data pipelines, and evaluation processes within large-scale distributed training environments.
- Research and develop AI Agents that interact naturally with players and game worlds using foundation models like LLM, SLM, and VLM.
- Utilize the latest Applied AI technologies such as Agent Architecture, Context Engineering, Tool Use, RAG, Evaluation, and Inference Optimization to develop AI systems applicable to actual game services, including AI Companions, NPCs, and content generation.
- Research RL techniques for self-learning and strategy development in complex game environments, developing learning systems applicable to real games through large-scale simulations, self-play, multi-agent learning, and policy optimization/evaluation.
- Research and develop various ML techniques for player behavior analysis, recommendations, predictions, and anomaly detection, building end-to-end ML systems from large-scale data processing to model training, evaluation, deployment, and operation to improve game service quality and operational efficiency.
- Conduct advanced research and development on large-scale Multimodal LLMs and World Models.
- Advance modeling, data, and evaluation pipelines to improve model performance.
- Publish research findings in top-tier conferences such as NeurIPS, ICLR, and ICML through papers and workshops.
- Develop AI systems applicable to real games by R&D-ing AI Agents, Foundation Models, RL, and ML technologies, creating new play experiences and innovating game development and operations.
- Advance agent architectures, learning-inference-evaluation methodologies, and end-to-end AI pipelines tailored to game environments and service requirements.
- Verify and apply research outcomes from prototypes to actual services through close collaboration with game projects, developing reusable core technologies and platforms.
Requirements
- Must be eligible for mandatory military service as a research personnel for 2026 or 2027.
- Experience and expertise in AI research.
- Ability to propose creative ideas for various problems through collaboration with team members from diverse fields.
- Willingness to freely express opinions regardless of age or position.
- Experience with large-scale distributed training environments.
- Experience with Multimodal LLM and World Model research.
- Experience with Agent Architecture, Context Engineering, Tool Use, RAG, Evaluation, and Inference Optimization.
- Experience with Reinforcement Learning (RL), Self-play, and Multi-Agent Learning.
- Experience with End-to-End ML systems for player behavior analysis, recommendations, predictions, and anomaly detection.
- Experience publishing research in top-tier conferences (NeurIPS, ICLR, ICML).