NAVER Search US - Applied Scientist (Generative AI & LLMs)

About the role

We are seeking an Applied Scientist to advance the capabilities of state-of-the-art AI-powered services. In this role, you will contribute to the development of Large Language Model (LLM)-driven systems that power a scalable and intelligent multi-agent ecosystem across diverse domains.

Key Responsibilities

• Design, develop, and fine-tune Large Language Models (LLMs) and generative AI systems
• Build and optimize multi-agent frameworks that support reasoning, planning, and tool usage
• Design and conduct experiments to evaluate model performance, latency, and output quality
• Improve model reliability by reducing hallucinations and enhancing contextual understanding
• Optimize context utilization and prompt strategies for better model efficiency and accuracy
• Collaborate with cross-functional teams to deploy scalable AI solutions into production
• Stay up to date with the latest advancements in generative AI, NLP, and deep learning

Requirements

• 3 to 5 years of professional experience in applied machine learning, NLP, or deep learning.
• A Master’s degree or PhD in Computer Science, Machine Learning, or a closely related field.
• Strong proficiency in Python and modern deep learning frameworks (e.g., PyTorch).
• Demonstrated experience with Generative AI, Transformer architectures, and evaluating model outputs.
• A highly collaborative approach to translating research concepts into tangible product features.

Qualifications

• A PhD or Master’s degree in Computer Science, Machine Learning, or a closely related field.
• Full-time industry experience in applied machine learning or related computer science field.
• Comfortable utilizing AI-powered tools like GitHub Copilot, Cursor, and ChatGPT.

Benefits

• Salary Range: $130,000 - $180,000 per year. Actual compensation may vary based on experience, skills, and location.
• Performance-based bonus
• Medical, dental, and vision insurance
• 401(k) retirement plan with company match
• Paid time off (vacation, sick leave, and holidays)
• Paid parental leave
• Ancillary Insurance (LTD, STD, AD&D and Life)
• Wellness Program