[Deep Learning Div.] Applied Research Engineer - Reinforcement Learning (2년 이상)

Job Description

KRAFTON is seeking a Deep Learning Applied Research Engineer specializing in Reinforcement Learning to join their team in Seoul. KRAFTON is dedicated to identifying and publishing games worldwide that offer a uniquely enjoyable experience. The Deep Learning division collaborates internally and externally to provide AI solutions and develop proprietary deep learning technologies.

The role involves collaborating with game developers to create RL-based agents, developing RL-based games and features, and developing AI technologies applicable to game creation. The engineer will also integrate research findings into tasks and projects, and collaborate with various teams and partners to solve problems.

Responsibilities:

• Collaborate with game developers to develop RL-based agents within games.
• Develop RL-based games and in-game features (content, functionality, etc.).
• Develop and consult on AI technologies applicable to in-game or game production processes.
• Integrate the latest significant research outputs in the RL domain into tasks/projects quickly.
• Collaborate with key internal/external stakeholders, including product teams, marketing teams, content managers, AI researchers, and external partners, to solve problems.

Requirements:

• Master's or Ph.D. in Computer Science, Machine Learning, or Artificial Intelligence, or equivalent industry experience (2+ years).
• Solid interest and foundational knowledge in Reinforcement Learning (RL).
• Experience with RL projects (meeting at least one of the following criteria):
• Led RL-related projects (environment and model design, learning algorithm implementation and tuning, etc.).
• Author of RL-related papers in machine learning/AI journals/conferences.
• Award winner in domestic/international AI competitions (NeurIPS challenge, Kaggle, etc.).
• Ability to quickly learn and implement the latest machine learning papers.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Ability to communicate in English.

Preferred Qualifications:

• Experience developing and deploying RL-based services in the gaming domain.
• Author of RL-related papers in top-tier machine learning/AI journals/conferences (NeurIPS, ICML, ICLR, etc.).
• Award winner in domestic/international AI competitions (NeurIPS challenge, Kaggle, etc.) at a top 3 level.