[Deep Learning Div.] Lead of Physical AI Agent, Research Scientist

Job Description

KRAFTON AI is seeking a Research Scientist to lead the development of humanoid robot foundation models and embodied AI systems. The role involves designing AI algorithms, optimizing interaction models for physical environments, and building scalable training pipelines. The Research Scientist will collaborate with cross-functional teams to apply research to real-world products.

Responsibilities:

• Design and develop AI algorithms for humanoid robots and embodied agents.
• Research and optimize behavior and interaction models using Imitation Learning, Reinforcement Learning (RL), and Human-Robot Interaction (HRI).
• Build scalable training and inference pipelines for large foundation models.
• Develop learning environments for AI agents to adapt autonomously in real-world spaces.
• Optimize and deploy AI models in simulation and on real-world robotic platforms.
• Explore new modes of interaction between virtual and physical worlds.
• Collaborate with cross-functional research and engineering teams.

Requirements:

• Ph.D. in AI, Computer Science, Electrical Engineering, or related field; or equivalent experience.
• Bilingual in English & Korean
• Strong collaborative mindset with leadership skills.
• Strong engineering background with skills in prototyping and model training frameworks (e.g., PyTorch, JAX, TensorFlow).
• Proficiency in Python or C++.
• Experience in developing learning-based algorithms for manipulation, locomotion, and navigation using RL and imitation learning.
• Experience in Multimodal Foundation Models or Robotics.

KRAFTON AI offers:

• Opportunity to drive ambitious research projects.
• Contribution to long-term vision and product roadmaps.
• Collaboration with a forward-thinking research team.