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About the Role

This role focuses on the applied science function, where you will lead the design, development, and production deployment of document understanding systems crucial for Westlaw, PracticalLaw, and CoCounsel. The position involves tackling significant challenges at scale, with an expectation of delivering reliable and measurable impact through work on semantic chunking, document enrichment, knowledge graph construction, and synthetic data generation for complex legal, tax, and accounting content. Multiple product teams rely on the output of this function.

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, Artificial Intelligence, Natural Language Processing, or a related field
8+ years of industry experience building and scaling document understanding, information extraction, knowledge graph, or applied NLP solutions
Demonstrated expertise across the end-to-end ML lifecycle, including model development, evaluation, optimization, distillation, and production deployment
Strong Python programming skills with hands-on experience in PyTorch, Hugging Face Transformers, and DeepSpeed
Track record of publishing research in leading conferences such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD, or equivalent
Proven ability to mentor technical talent and drive measurable business impact through production-ready AI systems
Experience translating advanced research into scalable, high-performing products and services
Strong communication and cross-functional collaboration skills, with the ability to influence technical and business stakeholders alike
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

Skills

Python
PyTorch
Hugging Face Transformers
DeepSpeed
Document layout analysis
Semantic chunking
Hierarchical, multi-label document classification
Entity recognition
Relation extraction
Citation parsing
Knowledge graph construction
LLM-based information extraction
Few-shot learning
Multi-task learning
Knowledge distillation
Model compression
SLM deployment
Synthetic data generation
Annotation workflow design
Evaluation framework design

Location

US
Canada

Work Type

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

Experience Level

8+ years of industry experience

Education Level

PhD in Computer Science, Artificial Intelligence, Natural Language Processing, or a related field

Salary/Compensations

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

Benefits

Flex My Way policies
Work from anywhere for up to 8 weeks per year
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
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 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
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.
We are one of the few companies globally that helps its customers pursue justice, truth, and transparency.
Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

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.