About Us
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
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.
