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.
Senior Machine Learning Engineer (AI Agent)
Machine Learning EngineerData
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Quick Summary
Overview
About Us We're hiring a Senior NLP Engineer to own the accuracy of our information-extraction pipeline.
Technical Tools
Machine Learning EngineerData
About Us
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Responsible for analysing and understanding of the massive structured and unstructured data by NLP tasks, such as data processing, NER, relationship extraction, NOR etc.
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Own and improve our information-extraction pipeline, from model to production
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Solve document-level extraction at scale — design how we handle long documents where entities, properties, and their relationships span across sections
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Independently drive algorithm optimization, develop and fine-tune models to meet business requirements.
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Build hybrid systems combining NER, rule-based methods, and LLMs, applying each where it genuinely wins
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Define evaluation methodology / annotation strategy / quality metrics with domain experts
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Process and extract from large-scale corpora reliably and efficiently
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Master or Bachelor degree in Computer Science or related field.
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4+ years of hands-on NLP/ML engineering in production, owning model or pipeline quality
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Proven experience with long-document / document-level information extraction and normalization
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Solid engineering fundamentals from working at scale
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Strong in NER, entity methodology; across rule-based, statistical, and LLM-based methods
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Experience in vibe coding and solid coding skills.
Location & Eligibility
Where is the job
Singapore
On-site within the country
Who can apply
SG
Listing Details
- Posted
- June 27, 2026
- First seen
- July 3, 2026
- Last seen
- August 22, 2026
Posting Health
- Days active
- 94
- Repost count
- 0
- Trust Level
- 29%
- Scored at
- October 6, 2026
Signal breakdown
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