Data Scientist - NLU at Binance | Powderkeg

Location: Asia

Employment Type: Full-time Onsite or Remote

Team: Big Data

Binance is the global blockchain company behind the world’s largest digital asset exchange by trading volume and users, serving a greater mission to accelerate cryptocurrency adoption and increase the freedom of money.

Are you looking to be a part of the most influential company in the blockchain industry and contribute to the crypto-currency revolution that is changing the world?


  • Responsible for the research and implementation of related algorithms in the fields of task-based dialogue, open domain QA , and customer service Chatbot;
  • Responsible for work related to natural language processing, including but not limited to text classification, NER, semantic understanding, dialogue management, text generation, knowledge graph, text recommendation, etc;
  • Have the ability to use cutting-edge technology to solve practical problems;


  • Rich experience in NLP, including question answering systems, search systems, knowledge graphs, etc.;
  • Proficient in at least one programming language, such as C/C++, Java, Python, etc.;
  • Familiar with the principles of general machine learning algorithms, and use TensorFlow, Torch, Caffe and other deep learning frameworks;
  • A solid and good foundation in mathematics, good English reading ability;
  • Good tracking of international cutting-edge technology, proficient in reading English documents of international conferences and journals and applying them to engineering practice;
  • Have a sense of teamwork and cooperate well with others;

Working at Binance

• Do something meaningful; Be a part of the future of finance technology and the no.1 company in the industry

• Fast moving, challenging and unique business problems

• International work environment and flat organisation

• Great career development opportunities in a growing company

• Possibility for relocation and international transfers mid-career

• Competitive salary

• Flexible working hours, Casual work attire

Job Summary
  • Job Title
    Data Scientist - NLU
  • Company
  • Location
  • Employment Type
    Full time
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