Binance Accelerator Program - Data Scientist (Chatbot)
Asia / Taiwan, Taipei / Canada, Toronto / Canada, Vancouver / Canada / Australia, Melbourne / Australia, Sydney
Early Careers /
Early Careers /
Remote
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?
About Binance Accelerator Program
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career.
Learn about BAP Program HERE
Who may apply
Current University students and recent graduates who can commit at least 6 months tenure, minimum 3 days per week
Responsibilities:
- 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 the 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
- Responsible for using cutting-edge technology to solve practical problems
Requirements:
- 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
- Familiar with the latest LLM technology, with training or application experience
- 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