at Tencent
Full TimeResponsible for NLP research and development including Chinese word segmentation, part-of-speech tagging, sentence analysis, and named entity recognition.
Responsible for text classification, sentiment analysis, data mining, text generation, topic analysis, label extraction, and other research and development job.
Optimize existing online algorithms, develop efficient and reliable NLP solutions by combining business needs and data.
Explore applications of NLP techniques and deep learning algorithms in games.
Follow the latest developments in academia and industry and quickly apply findings in your work.
Familiar with NLP fundamentals, with a strong understanding of statistical models, related machine learning principles, and experience working on NLP related projects.
Proficient in at least one programming language, familiar with basic data structures and algorithms.
Experience in big data mining, knowledge-graph auto-making, and deep learning experience is preferred.
Familiar with word segmentation, part-of-speech tagging, entity recognition, sentence analysis, model pre-training. Experience in sentiment analysis, relationship extraction, and event extraction is preferred.
Publication of academic results in academic journals and conferences in NLP-related fields (such as: EMNLP, ACL) is preferred.
Familiar with CRF, SVM, and other classic machine learning algorithms and tools, word vectors, RNN, CNN, LSTM, GAN, and other deep learning experiences are preferred.
