Game NLP Algorithm Research Intern

Key Skills

Python Programming, SQL, Cloud computing

Job Description

Responsibilities:

• 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 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.

Requirements:

• 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.
• 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;

  CV, NLP, reinforcement learning, cross-background preferred