Senior mixed - methods researcher leading quantitative and qualitative studies for Pulse Labs, which delivers human - centered product insights to technology companies. Translating multimodal data into strategic recommendations.
About the role
- Lead applied scientist building document understanding systems for Thomson Reuters’ Westlaw, PracticalLaw, and CoCounsel. Leading legal AI research, production deployment, evaluation, and knowledge extraction.
Responsibilities
- Own the design, development, and production deployment of document understanding systems powering Westlaw, PracticalLaw, and CoCounsel
- Design and deploy semantic chunking models for lengthy, non-uniformly structured legal documents
- Build document enrichment systems using legal and customer-defined taxonomies
- Develop LLM-based knowledge graph construction pipelines extracting and linking citations, entities, and legal concepts
- Lead knowledge distillation efforts to compress large models into latency-constrained, production-ready SLMs
- Design component-level and end-to-end evaluation frameworks 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
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
- Expertise across the end-to-end ML lifecycle, including model development, evaluation, optimization, distillation, and production deployment
- Strong Python programming skills
- Hands-on experience with PyTorch, Hugging Face Transformers, and DeepSpeed
- Track record of publishing research in leading conferences such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, KDD, or equivalent
- 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
- 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
- Preferred: Legal document understanding, legal IE, or legal AI experience
- Preferred: Complex document structures, retrieval or QA systems, RAG and agentic workflows, knowledge graph frameworks, AzureML or AWS SageMaker
Benefits
- Flexible work arrangements, including work from anywhere for up to 8 weeks per year
- Flexible vacation
- Two company-wide Mental Health Days off
- Headspace app access
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Mental, physical, and financial wellbeing resources
- Two paid volunteer days off annually
- Health, dental, vision, disability, and life insurance programs
- Competitive 401(k) plan with company match
- 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
- Employee Assistance Program
- Group Legal Identity Theft Protection benefit
- 529 Plan access
- Commuter benefits
- Adoption & Surrogacy Assistance
- Employee Stock Purchase Plan
- Annual Bonus based on enterprise and individual performance (role may be eligible)
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Staff Applied Scientist defining time - series forecasting science for Kinaxis, a global supply - chain orchestration company. Guiding ML research, evaluation, and production scale - up.
Staff Applied Scientist improving machine learning models for Upstart’s AI lending marketplace. Researching predictive performance and deploying reliable unsecured credit decisioning solutions.
Lead Applied Scientist designing production search and retrieval systems for Thomson Reuters legal, tax, and accounting products. Driving ranking, semantic retrieval, evaluation, and AI strategy.
Research Assistant supporting Okanagan College’s Indigenous - led evaluation of Rise Up’s youth wellness program. Building community relationships, evaluation frameworks, data protocols, and research ethics materials in Salmon Arm.
Research fellow analyzing Surgo Health’s AI - moderated healthcare trust dataset. Developing rigorous, publishable research on conversational interviews, survey methodology, and healthcare trust.
Senior Data Scientist refactoring Python optimization algorithms and developing pricing models. Solving supply - chain challenges for Tiger Analytics’ retail and CPG analytics clients.
Staff Applied Scientist building production ML systems for Samsara’s IoT - connected hardware supply chain. Forecasting demand, optimizing inventory, and modeling supplier risk.
Student Research Assistant researching digital storytelling and patient - centred cancer communication for Okanagan College’s BC Cancer project. Preparing annotated bibliographies and collaborating with patient partners.
Research Assistant coordinating Sidekick’s fully virtual Canadian ankle - sprain device clinical study. Screening participants, conducting video visits, monitoring diaries, and recording protocol data.