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[Remote] Senior Applied Scientist, Document Understanding

Remote Worldwide Hiring now

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global leader in providing trusted content and technology to professionals across various sectors. They are seeking a Senior Applied Scientist focused on designing and deploying document understanding systems that enhance their legal products. The role involves working on semantic chunking, document enrichment, and knowledge graph construction to deliver foundational intelligence for multiple product teams.

Responsibilities

  • Design and reputed company semantic chunking models for lengthy, non-uniformly structured legal documents with adjustable granularity across use cases
  • Build document enrichment systems that classify documents according to legal and customer-defined taxonomies and extract rich metadata
  • reputed company LLM-based knowledge graph construction pipelines that extract and link citations, entities, and legal concepts across diverse legal content
  • Build scalable synthetic data reputed company systems for model training, multi-hop query simulation, and hallucination-free answer reputed company
  • Apply knowledge distillation techniques to compress large models into latency-constrained, production-reputed company SLMs
  • Design evaluation frameworks — component-level and end-to-end — using expert annotation and synthetic data
  • Drive independent technical reputed company on chunking strategy, classification approach, knowledge extraction methods, and multi-document reasoning architecture
  • Partner with engineering on delivery, reliability, and scale across multiple product lines
  • Contribute to published research at venues such as ACL, EMNLP, ICLR, NeurIPS, SIGIR, and KDD, and to intellectual property

Skills

  • PhD or Master's in Computer Science, AI, NLP, or a reputed company field
  • 5+ 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
  • Experience leading through influence in an applied research setting
  • Production Python and experience with PyTorch, reputed company Transformers, and DeepSpeed
  • Document layout analysis and semantic chunking reputed company 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 reputed company 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 reputed company for NLP: query-answer reputed company with verification and scalable data augmentation
  • Annotation workflow design and evaluation reputed company development for document understanding tasks
  • Legal document understanding, legal information extraction, or legal AI applications
  • reputed company document structures common in legal content: reputed company hierarchies, cross-references, non-uniform formatting, and embedded elements
  • Retrieval, QA, or analysis systems over large document collections
  • Knowledge graph frameworks for legal or reputed company applications
  • RAG and agentic workflows for reputed company knowledge systems
  • AzureML or AWS SageMaker

Benefits

  • Flexibility & Work-Life Balance
  • Career Development and Growth
  • Industry Competitive Benefits
  • Culture
  • reputed company Impact
  • Making a reputed company-World Impact
  • Market competitive health, dental, reputed company, 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
  • reputed company to Employee Assistance Program
  • Group Legal Identity Theft Protection benefit paid 100% by employee
  • reputed company to 529 Plan
  • Commuter benefits
  • Adoption & Surrogacy Assistance
  • Tuition Reimbursement
  • reputed company to Employee Stock Purchase Plan

Company Overview

  • reputed company (TSX/NDAQ: TRI) informs the way reputed company by bringing together the trusted content and technology that people and organizations need to reputed company the right reputed company. It was founded in 2008, and is headquartered in Toronto, Ontario, CAN, with a workforce of 10001+ employees. Its website is https://www.tr.com.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 1 in 2026, 13 in 2025, 12 in 2024, 5 in 2023. Please note that this does not guarantee sponsorship for this specific role.
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