Sungjin Lee

Principal Machine Learning Scientist at Amazon | Greater Seattle Area

About Sungjin Lee

Sungjin Lee currently serves as a Principal Machine Learning Scientist at Amazon, where he is at the forefront of developing innovative technologies that push the boundaries of conversational AI. With a robust background in artificial intelligence, his expertise spans across various domains, including statistical dialog state tracking, dialog policy learning, and natural language understanding. Sungjin is deeply involved in key projects that leverage deep neural networks and reinforcement learning to create sophisticated conversational agents capable of autonomously learning from vast volumes of user interactions.

His work focuses on contextualized user modeling, which allows for personalized content and advertisement ranking through advanced online learning techniques. By employing user simulation methodologies, he enhances the efficiency and effectiveness of dialog systems, ensuring they can adapt to the diverse needs of real users across multiple domains. Additionally, Sungjin is pioneering applications in multilingual entity recognition and linking, which are crucial for creating inclusive and accessible AI solutions.

Sungjin's technical proficiency in languages such as C, C++, and Scala, combined with his experience in web mining and algorithm development, equips him to tackle complex challenges in the field of machine learning. His active learning pipeline for document understanding exemplifies his commitment to advancing the state of the art in speech and text processing. As he leads his team in this exciting journey, he invites like-minded professionals to join him in shaping the future of conversational AI, where the potential for innovation is limitless.

Sungjin Lee Work