Lead Applied Scientist, Document Understanding

Thompsonresumes

Not specified
Base: $147,600 - $274,200 usd; bonus/equity: not s...
Flexible work arrangements (includes remote work options)
8+ years of industry experience
Production python expertise
Experience with pytorch and transformers
Thomson Reuters is seeking a Lead Applied Scientist in Document Understanding to design and deploy advanced document understanding systems, particularly for legal, tax, and accounting content. The ideal candidate will have extensive experience in NLP and document understanding, with a strong focus on production deployment and technical mentorship

Job Summary

  • This role involves designing and deploying document understanding systems for legal content.
  • You will mentor applied scientists and contribute to AI strategy.
  • The company offers flexible work arrangements and a comprehensive benefits package.

Matching Summary

Match Score: 85

Thomson Reuters is seeking a Lead Applied Scientist in Document Understanding to design and deploy advanced document understanding systems, particularly for legal, tax, and accounting content. The ideal candidate will have extensive experience in NLP and document understanding, with a strong focus on production deployment and technical mentorship.

Salary

Base: $147,600 - $274,200 USD; Bonus/Equity: Not specified; Benefits: Comprehensive benefit plans

Skills & Requirements

Must-have

  • 8+ years of industry experience
  • Production Python expertise
  • Experience with PyTorch and Transformers

Nice-to-have

  • Legal AI experience
  • Knowledge graph frameworks
  • Retrieval systems over document collections

Key Requirements

  • PhD in Computer Science or related field
  • Hands-on production depth in document understanding
  • Publications in relevant AI conferences

Work Rights

Not specified

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