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About the Role
Language Lab researches core advanced technologies to solve technical challenges in natural language processing, aiming to innovate chatbot and other language services through Learning-by-Reading AI.
Responsibilities
- Research and develop algorithms and optimization for large-scale language models (BERT, GPT, etc.).
- Research and develop Machine Reading Comprehension and Q&A technologies.
- Research and develop large-scale Text Analytics (Named Entity Recognition, Keyword Extraction, Topic Modeling, Relation Extraction, Text Classification, Summarization, etc.).
- Research and develop deep learning-based conversational and generative models (NLU, Dialogue Management, NLG, etc.).
Requirements
- Master's degree in a relevant field or equivalent experience.
- Understanding of the latest deep learning natural language processing technologies and ability to implement code (e.g., Tensorflow).
- AI research achievements (e.g., papers in top-tier AI conferences), open-source activity is a plus.
Skills
- Deep Learning
- Natural Language Processing
- Tensorflow
- BERT
- GPT
- Machine Reading Comprehension
- Q&A Systems
- Text Analytics
- Conversational AI
- Generative Models
- NLU
- NLG
Experience Level
- Master's degree or equivalent experience
Education Level
- Master's degree
About the Company
- Language Lab researches core advanced technologies to solve technical challenges in natural language processing.
- The team's vision is to innovate chatbot and other language services through Learning-by-Reading AI.