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

About Naver U.HubNAVER U.Hub is the U.S. subsidiary of NAVER, a global internet technology company based in Los Angeles with offices in Seattle and Redwood City. Our teams across Naver Search US, BAND, ThingsBook, and Naver Ventures collaborate to advance AI, social media, and investment initiatives that build smarter and more connected experiences for global users.OverviewNSU plays a key role in advancing NAVER's artificial intelligence capabilities. Our team develops cutting-edge technologies that transform the way users interact with digital services. By leveraging natural language understanding, NSU delivers personalized and intuitive experiences that connect seamlessly with each individual. We ensure that NAVER's technology evolves in real time, adapting to users' changing needs, whether by refining search results or building smarter tools for the future.About the RoleWe 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.You will play a key role in enabling AI agents to reason, plan, and interact autonomously with external tools and knowledge sources. This position focuses on improving model quality, reliability, and contextual accuracy to deliver high-impact AI solutions in real-world applications.Key Responsibilities Design, develop, and fine-tune Large Language Models (LLMs) and generative AI systemsBuild and optimize multi-agent frameworks that support reasoning, planning, and tool usageDesign and conduct experiments to evaluate model performance, latency, and output qualityImprove model reliability by reducing hallucinations and enhancing contextual understandingOptimize context utilization and prompt strategies for better model efficiency and accuracyCollaborate with cross-functional teams to deploy scalable AI solutions into productionStay up to date with the latest advancements in generative AI, NLP, and deep learningSkills & Qualifications 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.Preferred 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.Compensation & BenefitsSalary Range: $130,000 - $180,000 per year. Actual compensation may vary based on experience, skills, and location.Additional Compensation: Performance-based bonusBenefits include: Medical, dental, and vision insurance401(k) retirement plan with company matchPaid time off (vacation, sick leave, and holidays)Paid parental leaveAncillary Insurance (LTD, STD, AD&D and Life)Wellness ProgramOtherJob type: Full-timeHybrid (Bellevue, Washington)Candidates who pass the initial HR screening will be invited to complete a coding test.Please note: To be eligible, applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship for employment visa status is unavailable.Equal Employment OpportunityNAVER U.Hub is proud to be an Equal Opportunity Employer, fostering a diverse and inclusive workplace where all individuals are valued and respected. Naver U.Hub and its affiliated companies are committed to providing an Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.Powered by JazzHR