Applied Scientist, Search & Information Retrieval

Thomson Reuters

New York City, NY, US
Base: $136,000 - $253,000 usd (eligible locations)...
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Phd or master's in computer science
3+ years shipping search systems to production
Neural ir fundamentals including bm25 and dense retrieval
** Thomson Reuters is seeking an Applied Scientist specializing in Search & Information Retrieval, with a focus on developing production-grade search systems for legal and professional content. The ideal candidate will have a strong academic background in Computer Science or related fields, coupled with industry experience in neural information retrieval and deep learning. **

Job Summary

  • This role focuses on building and deploying production-grade search systems that power Westlaw, PracticalLaw, and CoCounsel.
  • Candidates must have hands-on depth in neural information retrieval and deep learning for NLP with a proven track record of shipping systems into production.
  • The company offers a comprehensive benefits package including flexible vacation, mental health days, tuition reimbursement, and a competitive 401k plan.

Matching Summary

Match Score: 75

** Thomson Reuters is seeking an Applied Scientist specializing in Search & Information Retrieval, with a focus on developing production-grade search systems for legal and professional content. The ideal candidate will have a strong academic background in Computer Science or related fields, coupled with industry experience in neural information retrieval and deep learning. **

Salary

Base: $136,000 - $253,000 USD (eligible locations); Base: $118,400 - $219,800 USD (other US locations); Bonus: Eligible for Annual Bonus based on performance

Skills & Requirements

Must-have

  • PhD or Master's in Computer Science
  • 3+ years shipping search systems to production
  • Neural IR fundamentals including BM25 and dense retrieval
  • Production Python with PyTorch and DeepSpeed
  • Vector databases and RAG system design

Nice-to-have

  • Publications at SIGIR, NeurIPS, ACL, or EMNLP
  • Experience with legal domain applications
  • Multi-stage or agentic retrieval architectures
  • AzureML or AWS SageMaker experience
  • Long document retrieval over large corpora

Key Requirements

  • PhD or Master's degree required
  • 3+ years post-degree industry experience
  • Production-level experience with Neural IR
  • Expertise in evaluation framework design

Work Rights

Not specified

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