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.

• 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