NLP 연구인턴

The role

This person will research and implement technologies including Large Language Model Tuning, Advanced RAG, Text Analytics, Document Understanding, Data Analysis & Visualization, Speech-To-Text/Text-To-Speech, and Conversational Agents.

What you will do

• Large Language Model Tuning including Post-training, Instruction Tuning, and RL alignment
• Optimization of document QA, document generation, and conversation functions
• Advanced RAG research and development using latest LLM technology
• Text Analytics based on LLM and various language processing technologies
• Document Understanding for analyzing and database-ing information from papers and patents
• Understanding structure and content of general documents like PPT
• Data Analysis & Visualization of user queries and searched data
• Research on End-To-End Speech-To-Text and natural speech synthesis
• Research on Conversational Agent technologies including context understanding, memory, reasoning, and execution planning

Required qualifications

• 석사 학위 이상
• Deep Learning, Machine Learning 알고리즘 연구/개발 경험
• Tensorflow, PyTorch, JAX 등 Machine Learning Framework 활용 경험
• Python 등 프로그래밍 언어 경험
• 컴퓨터공학, 전산학, 전자공학, 산업공학

About the company

Language Lab researches core advanced technologies to solve technical challenges in natural language processing. The vision is to innovate language services such as chatbots through securing Learning-by-Reading AI.