NLP Team Leader

Singapore

PatSnap

Patsnap is a global patent and innovation database that provides users with a comprehensive and user-friendly platform for conducting patent searches.

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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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture BERT Computer Science Deep Learning GPT Linguistics LLMs Machine Learning ML models NeurIPS NLP Python PyTorch R RAG R&D TensorFlow

Perks/benefits: Conferences

Region: Asia/Pacific
Country: Singapore

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