Senior Document Understanding Scientist — Remote-Ready

Thomson Reuters; Eagan (MN); On-site; USD 127,400 - 236,600; Full time

Benefits offered by this job

Flex My Way: work from anywhere up to

Grow My Way: continuous learning

Two paid volunteer days off annually

Mental Health Days

Job summary

Thomson Reuters in the United States is seeking a Senior Applied Scientist to design, build, and deploy production-grade document understanding systems powering Westlaw, PracticalLaw, and CoCounsel. You will work across semantic chunking, document enrichment, and knowledge graph construction for complex legal content.

This hands-on role requires a PhD or MS, 5+ years in production ML, and a track record of shipping models.

Qualifications

• PhD or Master’s in CS, AI, NLP or related field.

Responsibilities

• Design and deploy semantic chunking models for lengthy legal documents.

Skills

Publications

Production Python

Lead through influence

LLM-based information extraction

Knowledge graph systems

Education

PhD or Master’s in Computer Science, AI, NLP, or related field

Tools

PyTorch

Hugging Face Transformers

DeepSpeed

AzureML

AWS SageMaker

Job description

Thomson Reuters in the United States is seeking a Senior Applied Scientist to design, build, and deploy production-grade document understanding systems powering Westlaw, PracticalLaw, and CoCounsel. You will work across semantic chunking, document enrichment, and knowledge graph construction for complex legal content.

This hands-on role requires a PhD or MS, 5+ years in production ML, and a track record of shipping models.