Senior NLP Engineer
3 weeks ago
Company Overview
PatSnap is a leading SaaS-based tech innovation intelligence service provider, helping R&D leaders maximize the value of innovation intelligence within their workflows and strategic planning.
Our team is dedicated to building cutting-edge capabilities in natural language processing technology and services, leveraging technologies like Deep Learning, NLP, CV, and Knowledge Graph to create top-tier products.
Job Summary
We're looking for an experienced Senior Natural Language Processing Engineer to help drive innovation and improve various business outcomes. You'll join a multidisciplinary team shaping our Product development, taking advantage of emerging trends and technologies to make a real-world difference.
Key Responsibilities
- Utilize natural language processing, machine learning, and data mining technologies to build models achieving business objectives.
- Proficient in using NER and relationship extraction to solve business problems.
- Study and transform various kinds of structured and unstructured data.
- Organize data into usable formats.
- Enhance the data collection process.
- Create visualizations of data.
- Analyze unstructured data using basic NLP techniques and extract important fields.
- Develop NLP systems according to requirements.
- Perform statistical analysis of results and refine models.
- Stay updated in the rapidly changing field of machine learning.
- Deploy models, optimize inference speed, and process big data.
Requirements
- Familiar with at least one field among ML, NLP, Knowledge Graph, LLM, and up-to-date with industry and academic progress.
- Solid foundation in algorithms and passion for technology development and application.
- Proficient in programming languages such as Python, and good grasp of deep learning frameworks like PyTorch, and TensorFlow.
- Familiar with name entity recognition and relationship extraction.
- Experience in optimizing pre-trained models, such as BERT and GPT-based papers published in ACL/AAAI/KDD/NIPS/CVPR and other conferences preferred.
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