P
PatSnap
ML Engineer

Senior Machine Learning Engineer (AI Agent)

On-siteSeniorML Engineerposted 2mo ago
Role summaryAI-generated

Senior ML Engineer role focused on end-to-end ownership of NLP pipelines for extracting material properties and quantitative data from patents/scientific literature, with emphasis on scaling document-level extraction and improving model precision in production.

Skills required

About this role

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.

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