Data Scientist Engineer (Chatbot - NLP)
atBinance
Aug 18
Founded by Changpeng Zhao (CZ) in 2017, Binance is currently the largest cryptocurrency exchange in terms of daily volume. Binance is the core global exchange. However, Binance operates separate exchanges in some countries such as the US, UK, Singapore, and Turkey due to regulatory reasons.
Since Binance has global operations, the exchange does a lot of hiring on a regular basis. Being a market leader, Binance Jobs also come with significant perks. Most of the jobs are remote, with flexible working hours. Binance also offers health insurance, the option to be paid in crypto, and programs to develop your skills.
If you're looking for Binance US Jobs, a wide range of them are also available most of the time. On average, the Binance Interview process lasts 2-4 weeks with 4 steps: Application Review, Interview, Offer, and finally Onboarding.
Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange. Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.
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 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.
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