Key Responsibilities
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Lead the development of cutting-edge NLP, ML, and LLM models to drive product innovation.
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For Data extraction, the implementation of NER and relationship extraction techniques for efficient, high-quality data construction.
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Guide the development of tailored NLP systems for specific use cases and requirements.
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Manage the deployment and optimization of ML models, focusing on inference speed and large-scale data processing efficiency.
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Spearhead initiatives in search engine technology and retrieval-augmented generation.
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Lead and mentor a team of NLP engineers, fostering innovation and tracking industry advancements.
Desired Qualifications
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Minimum of 5 years of professional experience in NLP, with a strong understanding of current industry and academic trends.
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Extensive knowledge of LLMs and proven leadership skills in managing teams of 5+ engineers.
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Fluency in English and Chinese, with excellent communication skills.
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Strong foundation in algorithms and a passion for technological innovation and application.
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Advanced proficiency in Python and deep learning frameworks such as PyTorch and TensorFlow.
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Expertise in named entity recognition and relationship extraction techniques.
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Demonstrated experience in optimizing pre-trained models, particularly BERT and GPT-based architectures.
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Publications in top-tier conferences (e.g., ACL, AAAI, KDD, NeurIPS, CVPR) are highly desirable.
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Master's degree in Computer Science, Computational Linguistics, or a related field; Ph.D. preferred.

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