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Senior Applied Scientist, Document Understanding

Remote / Online - Candidates ideally in
Toronto, Ontario, C6A, Canada
Listing for: Thomson Reuters
Remote/Work from Home position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Senior Applied Scientist, Document Understanding

New Position:
This position is open due to an existing vacancy to support our evolving business needs.

This applied science position focuses on designing, building, and deploying production-grade document understanding systems that power Westlaw, Practical Law, and CoCounsel.

You will work across semantic chunking, document enrichment, and knowledge graph construction for complex legal, tax, and accounting content — delivering foundational intelligence that multiple product teams depend on at scale.

What This Role Involves
  • Design and deploy semantic chunking models for lengthy, non-uniformly structured legal documents with adjustable granularity across use cases
  • Build document enrichment systems that classify documents according to legal and customer-defined taxonomies and extract rich metadata
  • Develop LLM-based knowledge graph construction pipelines that extract and link citations, entities, and legal concepts across diverse legal content
  • Build scalable synthetic data generation systems for model training, multi-hop query simulation, and hallucination-free answer generation
  • Apply knowledge distillation techniques to compress large models into latency-constrained, production-ready SLMs
  • Design evaluation frameworks - component-level and end-to-end - using expert annotation and synthetic data
  • Drive independent technical decisions on chunking strategy, classification approach, knowledge extraction methods, and multi-document reasoning architecture
  • Partner with engineering on delivery, reliability, and scale across multiple product lines
  • Contribute to published research at venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, and KDD, and to intellectual property
Required Qualifications
  • PhD or Master’s in Computer Science, AI, NLP, or a related field
  • 5+ years of post-degree industry experience shipping document understanding, information extraction, or knowledge graph systems into production - not research-only experience
  • Publications at ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD, or equivalent
  • Experience leading through influence in an applied research setting
  • Production Python and experience with PyTorch, Hugging Face Transformers, and Deep Speed
Hands-on Production Depth Required In
  • Document layout analysis and semantic chunking beyond fixed-size or paragraph-based methods
  • Hierarchical, multi-label document classification with domain-specific and customer-defined schemas
  • Entity recognition and linking, relation extraction, citation parsing, and knowledge graph construction from unstructured text
  • LLM-based information extraction, few-shot and multi-task learning, and post-training
  • Knowledge distillation, model compression, and SLM deployment under latency constraints
  • Synthetic data generation for NLP: query-answer generation with verification and scalable data augmentation
  • Annotation workflow design and evaluation framework development for document understanding tasks
Preferred Qualifications
  • Legal document understanding, legal information extraction, or legal AI applications
  • Complex document structures common in legal content: nested hierarchies, cross-references, non-uniform formatting, and embedded elements
  • Retrieval, QA, or analysis systems over large document collections
  • Knowledge graph frameworks for legal or enterprise applications
  • RAG and agentic workflows for enterprise knowledge systems
  • Azure

    ML or AWS Sage Maker
What’s In it For You
  • Flexibility & Work-Life Balance:
    Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
  • Career Development and Growth:
    By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
  • Industry…
Position Requirements
10+ Years work experience
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