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Applied Scientist - Generative AI & LLMs - Naver U.Hub INC
AI Engineer
Applied Scientist role focused on designing, training, and deploying large language models and generative AI solutions, leveraging Python, deep‑learning frameworks, and NLP techniques to advance search and user‑facing products.
About the role
Key Responsibilities
- Research, prototype, and implement state‑of‑the‑art generative AI and LLM architectures for search and recommendation systems.
- Design and execute large‑scale training pipelines using PyTorch or TensorFlow, optimizing for performance and cost.
- Collaborate with product and engineering teams to integrate AI models into production services, ensuring scalability and reliability.
- Conduct rigorous evaluation, A/B testing, and analysis of model outputs to drive continuous improvement.
- Publish findings in internal forums and external conferences, contributing to the organization’s AI knowledge base.
Requirements
- Ph.D. or Master’s in Computer Science, Electrical Engineering, or a related field with a focus on Machine Learning/NLP.
- 5+ years of hands‑on experience building, training, and deploying large language models or generative AI systems.
- Proficiency in Python and deep‑learning frameworks such as PyTorch or TensorFlow.
- Strong understanding of NLP techniques, transformer architectures, and model optimization strategies.
- Demonstrated ability to work cross‑functionally, communicate complex ideas clearly, and deliver production‑ready AI solutions.
Skills
pythonpytorchtensorflowgenerative ainatural language processingmachine learning