Responsibilities
- Responsible for exploring NLP-related cutting-edge technologies and applying them to search senario and AI agent senario.
- Responsible for analysing and understanding of the massive structured and unstructured data by NLP tasks, such as data processing, NER, relationship extraction, etc.
- Responsible for developing and fine-tuning models to meet business requirements.
- Work with a cross functional team to achieve business goals.
Requirements
- Minimum Qualifications
- Master or Bachelor degree in Computer Science, AI, or related field.
- Excellent coding ability, data structure and basic algorithm foundation.
- Proficient in C/C++ or Python.
- Familiar with NLP-related algorithms and technologies.
- Preferred Qualifications
- Familiar with at least one field among ML, NLP, LLM, etc.
- Experience in using deep learning frameworks like PyTorch & TensorFlow.
- Experience in LLM, abstract, NER, or prompt engineering tuning, instruction, fine-tuning.
- Experience in optimising pre-trained models, familiar with BERT and GPT-based papers published in ACL/AAAI/KDD/NIPS/CVPR.
- Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress.
- Excellent problem analysis and problem-solving skills, able to deeply solve the problems existing in LLM.
Similar Jobs
What We Do
Founded in 2007, Patsnap is the company behind the world’s leading innovation intelligence platform. Patsnap is used by more than 10,000 customers in over 50 countries around the world to access market, technology, and competitive intelligence as well as patent insights needed to take products from ideation to commercialization. Customers are innovators across multiple industry sectors, including agriculture and chemicals, consumer goods, food and beverage, life sciences, automotive, oil and gas, professional services, aviation and aerospace, and education. To learn more about how Patsnap is improving the way companies innovate, visit www.patsnap.com.
