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

About the role

As a senior scientific leader, you will drive the research and algorithmic foundation of next-generation AI agent platforms. You will lead efforts to solve high-ambiguity problems, including autonomous tool discovery, logical reasoning, and multi-step planning for foundation models.

Key Responsibilities

• Lead the design and development of advanced Large Language Models (LLMs) and AI agent architectures
• Drive research initiatives in areas such as reasoning, planning, and autonomous tool use
• Own and solve highly ambiguous, open-ended problems with significant technical and product impact
• Define and execute the technical roadmap for the applied science team
• Design and oversee experiments to evaluate model performance, reliability, and scalability
• Improve model robustness by reducing hallucinations and enhancing contextual understanding
• Collaborate with engineering teams to productionize research prototypes into scalable systems
• Mentor and guide junior scientists, fostering technical excellence across the team
• Stay at the forefront of advancements in generative AI, NLP, and machine learning

Requirements

• 5+ years of professional experience in applied machine learning, with a proven track record of leading complex technical projects from ideation to launch.
• Deep, hands-on expertise in training, fine-tuning, and evaluating Large Language Models (e.g., utilizing techniques like LoRA, RLHF, or CoT).
• Experience developing agentic workflows or systems that leverage dynamic function calling.
• Exceptional communication skills to articulate highly complex algorithmic concepts to cross-functional engineering and product teams.
• 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.

Compensation & Benefits

• Salary Range: $140,000 - $210,000 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