Lead Applied Scientist, Nlp/genai

Thomson Reuters

Hybrid
Document understanding systems
Deep learning frameworks
Semantic chunking models
You will build state-of-the-art semantic chunking, document enrichment, and knowledge graph construction systems

Job Summary

  • You will build state-of-the-art semantic chunking, document enrichment, and knowledge graph construction systems.
  • Your innovations will directly shape how millions of legal professionals research and analyze complex legal documents.
  • We offer comprehensive benefit plans including flexible vacation and mental health resources.

Matching Summary

You will build state-of-the-art semantic chunking, document enrichment, and knowledge graph construction systems.

Skills & Requirements

Must-have

  • document understanding systems
  • deep learning frameworks
  • semantic chunking models

Nice-to-have

  • legal document analysis
  • knowledge graph frameworks
  • flexible work arrangements

Key Requirements

  • PhD in Computer Science, AI, NLP
  • 7+ years of experience
  • strong programming skills in Python

Work Rights

Not specified

Tailored Resume

Cover Letter