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About the Role
NVIDIA Research Korea is seeking AI researchers to advance foundation models and agentic AI through data-centric research. The goal is to develop more capable, efficient, and self-improving AI systems, with a broader aim to advance Sovereign AI by enabling countries and language communities to build advanced AI systems without relying on massive amounts of human-annotated data. This role involves groundbreaking research, contributing to the open-source AI ecosystem, and translating innovations into NVIDIA products.
Responsibilities
- Conduct cutting-edge research in foundation models and agentic AI, including reasoning, planning, tool use, and autonomous problem-solving.
- Develop novel methods for data-efficient learning, data curation, and scalable model training for both pre-training and post-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 pre-training, post-training, and inference-time methods.
- Develop advanced Korean-language foundation 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 the 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.
Requirements
- 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, pre-training, agentic AI, reasoning, reinforcement learning, efficient model training, synthetic data generation, data-efficient learning, 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.
Skills
- LLMs
- Pre-training
- Agentic AI
- Reasoning
- Reinforcement Learning
- Efficient Model Training
- Synthetic Data Generation
- Data-Efficient Learning
- Distillation
- Self-Improving AI
- Deep Learning
- Foundation Models
- Python
- PyTorch
Location
- Korea
Work Type
- Full-time
Experience Level
- 4+ years of relevant research experience
Education Level
- PhD in AI, Computer Science, Electrical Engineering, or a related field (or equivalent experience)
About the Company
- NVIDIA is widely considered to be one of the technology world's most desirable employers.
- We have some of the most forward-thinking and productive people in the world working for us.