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About the Role

This role is within the applied science function, responsible for the design, development, and production deployment of document understanding systems that power Westlaw, PracticalLaw, and CoCounsel. The role involves working across semantic chunking, document enrichment, knowledge graph construction, and synthetic data generation for complex legal, tax, and accounting content, with multiple product teams depending on the delivered impact.

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

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
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 in Document layout analysis and semantic chunking beyond fixed-size or paragraph-based methods
Hands-on production depth in Hierarchical, multi-label document classification with domain-specific and customer-defined schemas
Hands-on production depth in Entity recognition and linking, relation extraction, citation parsing, and knowledge graph construction from unstructured text
Hands-on production depth in LLM-based information extraction, few-shot and multi-task learning, and post-training
Hands-on production depth in Knowledge distillation, model compression, and SLM deployment under latency constraints
Hands-on production depth in Synthetic data generation and annotation workflow design
Hands-on production depth in End-to-end evaluation framework design for document understanding
Legal document understanding, legal IE, or legal AI experience
Experience with complex document structures: nested hierarchies, cross-references, non-uniform formatting
Experience with retrieval or QA systems over large document collections
Experience with RAG and agentic workflows in enterprise settings
Experience with knowledge graph frameworks for legal or enterprise applications
Experience with AzureML or AWS SageMaker

Skills

Document Understanding
Semantic Chunking
Document Enrichment
Knowledge Graph Construction
Synthetic Data Generation
NLP
LLM
Python
PyTorch
Hugging Face Transformers
DeepSpeed
Document Layout Analysis
Hierarchical, Multi-label Document Classification
Entity Recognition
Entity Linking
Relation Extraction
Citation Parsing
Knowledge Distillation
Model Compression
SLM Deployment
Retrieval Systems
QA Systems
RAG
Agentic Workflows

Location

US
Canada

Work Type

Work from anywhere for up to 8 weeks per year
Flexible work arrangements

Experience Level

8+ years of post-degree industry experience

Education Level

PhD in Computer Science, AI, NLP, or a related field

Salary/Compensations

USD 147,600 - 274,200
CAD 140,000 - 175,000

Benefits

Flex My Way workplace policies
Work from anywhere for up to 8 weeks per year
Continuous learning and skill development
Grow My Way programming
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
Two paid volunteer days off annually
Pro-bono consulting project opportunities
Environmental, Social, and Governance (ESG) initiatives
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
Parental leave
Sabbatical leave
Optional hospital, accident and sickness insurance
Optional life and AD&D insurance
Flexible Spending and Health Savings Accounts
Fitness reimbursement
Access to Employee Assistance Program
Group Legal Identity Theft Protection benefit
Access to 529 Plan
Commuter benefits
Adoption & Surrogacy Assistance
Access to Employee Stock Purchase Plan

About the Company

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions.
We serve professionals across legal, tax, accounting, compliance, government, and media.
Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.
Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.
Join us and help shape the industries that move society forward.

Equal Opportunity

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.