포지션 상세
NVIDIA is searching for outstanding AI researchers to join the NVIDIA Research Korea team. Our mission is to advance the frontiers of agentic AI by developing more capable, efficient, and self-improving AI systems. We focus on fundamental research in agentic reasoning, synthetic data generation, data-efficient learning, scalable training, and iterative self-improvement, exploring how AI systems can continuously improve their capabilities while reducing their dependence on expensive human supervision and computational resources.
• Develop novel methods for data-efficient learning, synthetic data generation, data selection, and scalable model training.
• Explore self-improvement techniques, including RL, distillation, self-training, and learning from model-generated feedback.
• Advance the capabilities and efficiency of foundation models and agentic systems through innovative training and inference-time methods.
• Develop advanced Korean-language AI models and agentic systems, establishing methods and training recipes that generalize to other languages and regions.
• Publish original research at leading conferences and contribute to open-source research.
• Collaborate with researchers across NVIDIA and external academic institutions.
• Mentor research interns from NVIDIA-KAIST Joint AI Research Lab and contribute to a collaborative research environment with KAIST.
• Present research findings at conferences, workshops, and other scientific events.
• Transfer research innovations to NVIDIA product teams.
• At least 4 years of relevant research experience.
• Strong expertise in one or more of the following areas: LLMs, agentic AI, reasoning, RL, efficient model training, synthetic data generation, data-efficient learning, RL, distillation, or self-improving AI.
• Publications at leading conferences such as NeurIPS, ICML, ICLR, COLM, ACL, EMNLP, or CVPR.
• Strong understanding of modern deep learning methods and foundation models.
• Excellent programming skills in Python and experience with deep learning frameworks such as PyTorch.
• Ability to identify important research problems, develop novel approaches, and conduct rigorous empirical evaluations.
• Excellent communication skills and ability to collaborate effectively across research teams.
주요업무
• Conduct cutting-edge research in agentic AI, including reasoning, planning, tool use, and autonomous problem-solving.• Develop novel methods for data-efficient learning, synthetic data generation, data selection, and scalable model training.
• Explore self-improvement techniques, including RL, distillation, self-training, and learning from model-generated feedback.
• Advance the capabilities and efficiency of foundation models and agentic systems through innovative training and inference-time methods.
• Develop advanced Korean-language AI models and agentic systems, establishing methods and training recipes that generalize to other languages and regions.
• Publish original research at leading conferences and contribute to open-source research.
• Collaborate with researchers across NVIDIA and external academic institutions.
• Mentor research interns from NVIDIA-KAIST Joint AI Research Lab and contribute to a collaborative research environment with KAIST.
• Present research findings at conferences, workshops, and other scientific events.
• Transfer research innovations to NVIDIA product teams.
자격요건
• PhD in AI, Computer Science, Electrical Engineering, or a related field (or equivalent experience).• At least 4 years of relevant research experience.
• Strong expertise in one or more of the following areas: LLMs, agentic AI, reasoning, RL, efficient model training, synthetic data generation, data-efficient learning, RL, distillation, or self-improving AI.
• Publications at leading conferences such as NeurIPS, ICML, ICLR, COLM, ACL, EMNLP, or CVPR.
• Strong understanding of modern deep learning methods and foundation models.
• Excellent programming skills in Python and experience with deep learning frameworks such as PyTorch.
• Ability to identify important research problems, develop novel approaches, and conduct rigorous empirical evaluations.
• Excellent communication skills and ability to collaborate effectively across research teams.
