Lead Applied Scientist, Document Understanding

Thomson ReutersFrisco, TX
$147,600 - $274,200Remote

About The Position

This role sits within the applied science function. You will own the design, development, and production deployment of document understanding systems that directly power Westlaw, PracticalLaw, and CoCounsel. The problems are real, the scale is large, and the expectation is shipped, reliable, measurable impact. You will work across semantic chunking, document enrichment, knowledge graph construction, and synthetic data generation for complex legal, tax, and accounting content. Multiple product teams depend on what this function delivers.

Requirements

  • PhD in Computer Science, AI, NLP, or a related field
  • 8+ 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
  • Production Python and experience with PyTorch, Hugging Face Transformers, and DeepSpeed
  • Hands-on production depth required in: Document layout analysis and semantic chunking beyond fixed-size or paragraph-based methods
  • Hands-on production depth required in: Hierarchical, multi-label document classification with domain-specific and customer-defined schemas
  • Hands-on production depth required in: Entity recognition and linking, relation extraction, citation parsing, and knowledge graph construction from unstructured text
  • Hands-on production depth required in: LLM-based information extraction, few-shot and multi-task learning, and post-training
  • Hands-on production depth required in: Knowledge distillation, model compression, and SLM deployment under latency constraints
  • Hands-on production depth required in: Synthetic data generation and annotation workflow design
  • Hands-on production depth required in: End-to-end evaluation framework design for document understanding

Nice To Haves

  • Legal document understanding, legal IE, or legal AI experience
  • Complex document structures: nested hierarchies, cross-references, non-uniform formatting
  • Retrieval or QA systems over large document collections
  • RAG and agentic workflows in enterprise settings
  • Knowledge graph frameworks for legal or enterprise applications
  • AzureML or AWS SageMaker

Responsibilities

  • Design and deploy semantic chunking models for lengthy, non-uniformly structured legal documents with adjustable granularity across use cases
  • Build document enrichment systems using legal and customer-defined taxonomies
  • Develop LLM-based knowledge graph construction pipelines that extract and link citations, entities, and legal concepts across diverse legal content
  • Lead knowledge distillation efforts 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
  • Own technical decisions on architecture, chunking strategy, classification approach, and knowledge extraction methods
  • Partner with engineering on delivery, reliability, and scale across multiple product lines
  • Provide technical input to senior leadership on AI strategy and roadmap
  • Mentor applied scientists and ML practitioners on the team

Benefits

  • 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.
  • Flexible work arrangements, including work from anywhere for up to 8 weeks per year
  • Grow My Way programming and skills-first approach
  • Flexible vacation
  • Two company-wide Mental Health Days off
  • Access to the Headspace app
  • Retirement savings
  • Tuition reimbursement
  • Employee incentive programs
  • Resources for mental, physical, and financial wellbeing
  • Market competitive health, dental, vision, disability, and life insurance programs
  • Competitive 401k plan with company match
  • Competitive vacation, sick and safe paid time off
  • Paid holidays (including two company mental health days off)
  • Parental leave
  • Sabbatical leave
  • Optional hospital, accident and sickness insurance paid 100% by the employee
  • Optional life and AD&D insurance paid 100% by the employee
  • Flexible Spending and Health Savings Accounts
  • Fitness reimbursement
  • Access to Employee Assistance Program
  • Group Legal Identity Theft Protection benefit paid 100% by employee
  • Access to 529 Plan
  • Commuter benefits
  • Adoption & Surrogacy Assistance
  • Two paid volunteer days off annually
  • Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives
  • Access to Employee Stock Purchase Plan

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

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