More details will be shared during screening.
Job Description:
Senior NLP Engineer at Patsnap
We're hiring a Senior NLP Engineer to own the accuracy of our information-extraction pipeline. You'll work on hard problems extracting material properties and quantitative measurements from long, complex documents — patents and scientific literature where the signal is scattered across sections and relationships span paragraphs.
This is a hands-on senior role with end-to-end ownership: you'll independently scope, prototype, and ship algorithmic improvements, define how we measure quality, and raise the extraction precision bar to production grade.
Responsibilities
- Responsible for analysing and understanding of the massive structured and unstructured data by NLP tasks, such as data processing, NER, relationship extraction, NOR etc.
- Own and improve our information-extraction pipeline, from model to production
- Solve document-level extraction at scale — design how we handle long documents where entities, properties, and their relationships span across sections
- Independently drive algorithm optimization, develop and fine-tune models to meet business requirements.
- Build hybrid systems combining NER, rule-based methods, and LLMs, applying each where it genuinely wins
- Define evaluation methodology / annotation strategy / quality metrics with domain experts
- Process and extract from large-scale corpora reliably and efficiently
Job Requirements:
Qualifications
Master or Bachelor degree in Computer Science or related field.
4+ years of hands-on NLP/ML engineering in production, owning model or pipeline quality
Proven experience with long-document / document-level information extraction and normalization
Solid engineering fundamentals from working at scale
Strong in NER, entity methodology; across rule-based, statistical, and LLM-based methods
Experience in vibe coding and solid coding skills.
Benefits:
Required Skills:
Rule-BasedPythonAlgorithmNamed Entity RecognitionNatural Language ProcessingMachine LearningData ProcessingStatistical Methods
Optional Skills:
Hybrid SystemsBig Data
Posted by:
M
Mihir
mk@hackertrail.com