Applied Scientist, Search & Information Retrieval

Thomson Reuters

New York City, New York, United States
Base: $136,000 - $253,000 usd; bonus: eligible for...
Hybrid
Phd or master's in computer science
3+ years shipping search systems
Neural ir and deep learning expertise
This role focuses on building and deploying production-grade search systems that power Westlaw, PracticalLaw, and CoCounsel

Job Summary

  • This role focuses on building and deploying production-grade search systems that power Westlaw, PracticalLaw, and CoCounsel.
  • Candidates are expected to have hands-on depth in neural information retrieval and deep learning for NLP while measuring success by production performance.
  • The company offers a comprehensive benefits package including market competitive health insurance, flexible vacation, and two company-wide Mental Health Days off.

Matching Summary

This role focuses on building and deploying production-grade search systems that power Westlaw, PracticalLaw, and CoCounsel.

Salary

Base: $136,000 - $253,000 USD; Bonus: Eligible for Annual Bonus based on performance; Benefits: Comprehensive health, dental, vision, 401k match, tuition reimbursement

Skills & Requirements

Must-have

  • PhD or Master's in Computer Science
  • 3+ years shipping search systems
  • Neural IR and deep learning expertise
  • Production Python with PyTorch
  • Hybrid search and dense retrieval
  • Vector databases and RAG design

Nice-to-have

  • Publications at SIGIR or NeurIPS
  • Legal domain application experience
  • AzureML or AWS SageMaker proficiency
  • Multi-stage agentic retrieval architectures
  • Experience with long document retrieval

Key Requirements

  • PhD or Master's degree required
  • 3+ years post-degree industry experience
  • Publication record at top AI venues preferred
  • US work authorization required for listed locations

Work Rights

Not specified

Tailored Resume

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