About PatSnapPatsnap empowers IP and R&D teams by providing better answers, so they can make faster decisions with more confidence. Founded in 2007, Patsnap is the global leader in AI-powered IP and R&D intelligence. Our domain-specific LLM, trained on our extensive proprietary innovation data, coupled with Hiro, our AI assistant, delivers actionable insights that increase productivity for IP tasks by 75% and reduce R&D wastage by 25%. IP and R&D teams collaborate better with a user-friendly platform across the entire innovation lifecycle. Over 15,000 companies trust Patsnap to innovate faster with AI, including NASA, Tesla, PayPal, Sanofi, Dow Chemical, and Wilson Sonsini.
Key Responsibilities
Develop and implement advanced NLP and machine learning models, includingLLMs, to enhance product capabilities.
Utilize NER and relationship extraction techniques to efficiently construct high-quality datasets.
Design and develop custom NLP systems for specific requirements and use cases.
Deploy and optimize ML models for improved inference speed and efficient large-scale data processing.
Implement and enhance search engines or retrieval-augmented generation systems.
Collaborate with cross-functional teams to solve complex problems and trace the cutting-edge NLP technologies.
Desired Qualifications
Advanced knowledge in at least one of the following areas: ML, NLP, Knowledge Graphs, or LLMs.
Strong foundation in algorithms and a passion for technological innovation.
Proficiency in Python and experience with 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.
