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NLP Intern

Logo of Tencent


1mo ago

🚀 Off-cycle Internship


AI generated summary

  • Strong understanding of NLP fundamentals, statistical models, and machine learning principles with experience in big data mining and deep learning. Proficient in programming, word segmentation, sentiment analysis, and familiarity with classic machine learning algorithms, deep learning tools, and frameworks. Academic publications in NLP-related fields preferred.
  • The NLP Intern at Tencent will work on Chinese word segmentation, part-of-speech tagging, sentiment analysis, and other NLP tasks, optimizing algorithms and applying deep learning in gaming, while staying updated on industry advancements.

Off-cycle Internship

Software EngineeringLondon


  • Interactive Entertainment Group (IEG) is responsible for the R&D, operation, and development of the company's interactive entertainment business including games and eSports. Through online gaming, live broadcasts, and offline eSports, IEG assists the company in leading the global interactive entertainment market to create better interactive entertainment content experiences for users.


  • 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.
  • Familiar with Tensorflow, PyTorch, Hive. Hadoop is preferred.

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering


  • Responsible 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.


Work type

Full time

Work mode