Applied Scientist

Thomson Reuters

New York City, NY, US
New york city, san francisco, los angeles, + /or i...
Hybrid
Applied research in industry setting
State-of-the-art ai/ml
Information retrieval, nlp, machine learning
TR Labs is the AI Research & Development arm of Thomas Reuters, focused on innovating industry-leading solutions for Legal, Tax & Accounting, Risk, and News Media professionals by exploring and developing new AI/ML technologies

Job Summary

  • TR Labs is the AI Research & Development arm of Thomas Reuters, focused on innovating industry-leading solutions for Legal, Tax & Accounting, Risk, and News Media professionals by exploring and developing new AI/ML technologies.
  • As an Applied Scientist, you will develop and implement AI/ML solutions, design experiments, build models, and translate research into production-ready features, collaborating with product and engineering teams.
  • Thomson Reuters offers a hybrid work model, flexibility and work-life balance initiatives, career development programs, competitive benefits including mental health days and tuition reimbursement, and a culture recognized for inclusion and belonging.

Matching Summary

TR Labs is the AI Research & Development arm of Thomas Reuters, focused on innovating industry-leading solutions for Legal, Tax & Accounting, Risk, and News Media professionals by exploring and developing new AI/ML technologies.

Salary

New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC: $117,700 USD - $218,600 USD; Other US locations: $102,200 USD - $189,800 USD; Ontario, Canada: $80,000 CAD - $100,000 CAD; Bonus/Equity: Eligible for Annual Bonus; Benefits: Comprehensive benefit plans

Skills & Requirements

Must-have

  • applied research in industry setting
  • state-of-the-art AI/ML
  • information retrieval, NLP, machine learning
  • generative AI techniques
  • Python programming skills
  • modern ML framework
  • LLM implementation and evaluation

Nice-to-have

  • deep domain expertise
  • collaboration with product and engineering
  • continuous learning and skill development
  • flexible hybrid working environment
  • work-life balance initiatives
  • inclusion and belonging culture

Key Requirements

  • PhD or Master’s degree
  • 1-2 years of hands-on experience
  • familiarity with modern ML framework
  • experience with shared codebases and version control
  • familiarity with cloud development environments
  • strong communication and problem-solving skills
  • experience with RAG and agentic frameworks
  • publications or preprints in relevant venues
  • experience with production code and MLOps

Work Rights

Not specified

Tailored Resume

Cover Letter