About PatSnap
Patsnap 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.
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