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 and document enrichment systems that serve as the cognitive foundation for multiple product teams

Job Summary

  • You will build state-of-the-art semantic chunking and document enrichment systems that serve as the cognitive foundation for multiple product teams.
  • Your innovations will directly shape how millions of legal professionals research and analyze complex legal documents.
  • We offer a flexible hybrid working environment and a culture of continuous learning and skill development.

Matching Summary

You will build state-of-the-art semantic chunking and document enrichment systems that serve as the cognitive foundation for multiple product teams.

Skills & Requirements

Must-have

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

Nice-to-have

  • legal document understanding experience
  • knowledge graph frameworks
  • flexible hybrid working environment

Key Requirements

  • PhD in Computer Science or related field
  • 3+ years of hands-on experience
  • strong programming skills in Python

Work Rights

Not specified

Tailored Resume

Cover Letter