<div style="font-family: sans-serif; line-height: 1.6; padding: 20px;"><div style="margin-bottom: 40px;"><h2 style="font-size: 22px; margin-bottom: 16px; font-weight: bold; color: #333;">주요업무</h2><div style="color: #333;"><p>We are seeking talented individuals to develop and apply innovative AI-based robot control models. This role involves designing AI-driven systems that model complex robotic components—including motion, physical form, and sensor interactions—to optimize real-world performance. You will play a key role in <strong>designing and optimizing high-performance model architectures</strong> required by next-generation robotic systems, enabling intelligent and efficient learning and behavior in physical robots.</p><p><strong>Join us at the forefront of robotics innovation—where your creativity and expertise will drive the future. We look forward to growing together with you!</strong></p><p><br/></p><ul><li class="ql-indent-1"><strong>Research and Development of VLA & Action Generation Models</strong>Design model architectures that integrate image, video, language, and robotic action data.</li><li class="ql-indent-1">Apply and optimize deep learning techniques for effective multimodal data processing.</li><li class="ql-indent-1"><strong>Building Imitation Learning-Based Models</strong>Develop algorithms that learn control policies from demonstration data.</li><li class="ql-indent-1">Design data collection, preprocessing pipelines, and model validation processes.</li><li class="ql-indent-1"><strong>Reinforcement Learning-Based Policy Training</strong>Enhance robot control performance using RL algorithms (e.g., policy-based or value-based methods).</li><li class="ql-indent-1">Conduct research on efficient and stable training both in simulation and real-world environments.</li><li class="ql-indent-1"><strong>Large-Scale Model Training and Optimization</strong>Train models using high-performance computing (HPC) clusters or GPUs, and optimize hyperparameters.</li><li class="ql-indent-1">Leverage parallel and distributed training frameworks to maximize speed and accuracy.</li><li class="ql-indent-1"><strong>Validation and Cross-Team Collaboration</strong>Evaluate models in both simulation and real robot environments, and analyze performance.</li><li class="ql-indent-1">Collaborate with robotics and software engineers to implement models and identify areas for improvement.</li></ul></div></div><div style="margin-bottom: 40px;"><h2 style="font-size: 22px; margin-bottom: 16px; font-weight: bold; color: #333;">자격요건</h2><div style="color: #333;"><ul><li class="ql-indent-1"><strong>Strong Knowledge in Machine Learning / Deep Learning</strong>Understanding and practical experience with neural networks, CNN/RNN, Transformers, etc.</li><li class="ql-indent-1"><strong>Experience in VLA or VLM Model Development</strong>Ability to design and implement models that combine multimodal data (vision, language, motion).</li><li class="ql-indent-1"><strong>Understanding of Imitation Learning & Reinforcement Learning</strong>Experience applying algorithms such as DAgger, Behavior Cloning, Q-learning, and Policy Gradients.</li><li class="ql-indent-1">Practical knowledge of training policies in both simulation and real-world settings.</li><li class="ql-indent-1"><strong>Programming Skills</strong>Proficiency in Python and/or C++ for developing and optimizing robotics AI models.</li><li class="ql-indent-1">Experience with version control tools like Git.</li><li class="ql-indent-1"><strong>Distributed / Parallel Training Experience</strong>Hands-on experience training large models in GPU clusters or HPC environments and optimizing their performance.</li></ul></div></div><div style="margin-bottom: 40px;"><h2 style="font-size: 22px; margin-bottom: 16px; font-weight: bold; color: #333;">우대사항</h2><div style="color: #333;"><ul><li class="ql-indent-1"><strong>Experience in Robotics or Autonomous Driving Projects</strong>Experience integrating models into real or simulated environments using ROS and tools like MuJoCo, Gazebo.</li><li class="ql-indent-1"><strong>Experience with Data Pipelines and MLOps</strong>Experience in automating machine learning workflows, including data handling, model serving, and CI/CD.</li><li class="ql-indent-1"><strong>Mathematical & Statistical Analysis Skills</strong>Solid understanding of probability theory, optimization, and mathematical foundations of reinforcement learning.</li><li class="ql-indent-1"><strong>Research & Publication Experience</strong>Publications or presentations on robotics AI at top-tier conferences/journals such as ICRA, IROS, or NeurIPS.</li></ul></div></div></div>
주요업무
We are seeking talented individuals to develop and apply innovative AI-based robot control models. This role involves designing AI-driven systems that model complex robotic components—including motion, physical form, and sensor interactions—to optimize real-world performance. You will play a key role in designing and optimizing high-performance model architectures required by next-generation robotic systems, enabling intelligent and efficient learning and behavior in physical robots.
Join us at the forefront of robotics innovation—where your creativity and expertise will drive the future. We look forward to growing together with you!
- Research and Development of VLA & Action Generation ModelsDesign model architectures that integrate image, video, language, and robotic action data.
- Apply and optimize deep learning techniques for effective multimodal data processing.
- Building Imitation Learning-Based ModelsDevelop algorithms that learn control policies from demonstration data.
- Design data collection, preprocessing pipelines, and model validation processes.
- Reinforcement Learning-Based Policy TrainingEnhance robot control performance using RL algorithms (e.g., policy-based or value-based methods).
- Conduct research on efficient and stable training both in simulation and real-world environments.
- Large-Scale Model Training and OptimizationTrain models using high-performance computing (HPC) clusters or GPUs, and optimize hyperparameters.
- Leverage parallel and distributed training frameworks to maximize speed and accuracy.
- Validation and Cross-Team CollaborationEvaluate models in both simulation and real robot environments, and analyze performance.
- Collaborate with robotics and software engineers to implement models and identify areas for improvement.
자격요건
- Strong Knowledge in Machine Learning / Deep LearningUnderstanding and practical experience with neural networks, CNN/RNN, Transformers, etc.
- Experience in VLA or VLM Model DevelopmentAbility to design and implement models that combine multimodal data (vision, language, motion).
- Understanding of Imitation Learning & Reinforcement LearningExperience applying algorithms such as DAgger, Behavior Cloning, Q-learning, and Policy Gradients.
- Practical knowledge of training policies in both simulation and real-world settings.
- Programming SkillsProficiency in Python and/or C++ for developing and optimizing robotics AI models.
- Experience with version control tools like Git.
- Distributed / Parallel Training ExperienceHands-on experience training large models in GPU clusters or HPC environments and optimizing their performance.
우대사항
- Experience in Robotics or Autonomous Driving ProjectsExperience integrating models into real or simulated environments using ROS and tools like MuJoCo, Gazebo.
- Experience with Data Pipelines and MLOpsExperience in automating machine learning workflows, including data handling, model serving, and CI/CD.
- Mathematical & Statistical Analysis SkillsSolid understanding of probability theory, optimization, and mathematical foundations of reinforcement learning.
- Research & Publication ExperiencePublications or presentations on robotics AI at top-tier conferences/journals such as ICRA, IROS, or NeurIPS.
