Description
You will own the design, development, and production deployment of document understanding systems that directly power Westlaw, PracticalLaw, and CoCounsel.
These systems handle semantic chunking, document enrichment, knowledge graph construction, and synthetic data generation for complex legal, tax, and accounting content.
Key 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
Required Qualifications:
- 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
- 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 and annotation workflow design
- End-to-end evaluation framework design for document understanding
Benefits:
- Flexibility & Work-Life Balance: Flex My Way, work from anywhere for up to 8 weeks per year
- Career Development and Growth: Grow My Way programming and skills-first approach
- Industry Competitive Benefits: comprehensive benefit plans, flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement
- Culture: award-winning reputation for inclusion and belonging, flexibility, work-life balance
- Social Impact: Social Impact Institute, two paid volunteer days off annually, pro-bono consulting projects, Environmental, Social, and Governance (ESG) initiatives