About PatSnapPatsnap empowers IP and R&D teams by providing better answers, so they can makefaster decisions with more confidence. Founded in 2007, Patsnap is the global leaderin AI-powered IP and R&D intelligence. Our domain-specific LLM, trained on ourextensive proprietary innovation data, coupled with Hiro, our AI assistant, deliversactionable insights that increase productivity for IP tasks by 75% and reduce R&Dwastage by 25%. IP and R&D teams collaborate better with a user-friendly platformacross the entire innovation lifecycle. Over 15,000 companies trust Patsnap toinnovate faster with AI, including NASA, Tesla, PayPal, Sanofi, Dow Chemical, andWilson Sonsini.
Key Responsibilities
Lead the development of cutting-edge NLP, ML, and LLM models to drive product innovation.
For Data extraction, the implementation of NER and relationship extraction techniques for efficient, high-quality data construction.
Guide the development of tailored NLP systems for specific use cases and requirements.
Manage the deployment and optimization of ML models, focusing on inference speed and large-scale data processing efficiency.
Spearhead initiatives in search engine technology and retrieval-augmented generation.
Lead and mentor a team of NLP engineers, fostering innovation and tracking industry advancements.
Desired Qualifications
Minimum of 5 years of professional experience in NLP, with a strong understanding of current industry and academic trends.
Extensive knowledge of LLMs and proven leadership skills in managing teams of 5+ engineers.
Fluency in English and Chinese, with excellent communication skills.
Strong foundation in algorithms and a passion for technological innovation and application.
Advanced proficiency in Python and deep learning frameworks such as PyTorch and TensorFlow.
Expertise in named entity recognition and relationship extraction techniques.
Demonstrated experience in optimizing pre-trained models, particularly BERT and GPT-based architectures.
Publications in top-tier conferences (e.g., ACL, AAAI, KDD, NeurIPS, CVPR) are highly desirable.
Master's degree in Computer Science, Computational Linguistics, or a related field; Ph.D. preferred.
