Applied Scientist

Thomson Reuters

New York City, NY, US
Base: $117,700 - $218,600 usd (varies by location)...
Hybrid
Machine learning and ai solutions
Python programming skills
Experience with modern ml frameworks
Thomson Reuters Labs innovates industry-leading AI/ML solutions for Legal, Tax & Accounting, Risk, and News Media professionals

Job Summary

  • Thomson Reuters Labs innovates industry-leading AI/ML solutions for Legal, Tax & Accounting, Risk, and News Media professionals.
  • The Applied Scientist role involves designing experiments, building models, and translating research into production-ready features with cross-functional collaboration.
  • Employees benefit from a flexible hybrid work model, comprehensive benefits including mental health days, career development programs, and a culture of inclusion and social impact.

Matching Summary

Thomson Reuters Labs innovates industry-leading AI/ML solutions for Legal, Tax & Accounting, Risk, and News Media professionals.

Salary

Base: $117,700 - $218,600 USD (varies by location); Bonus/Equity: Annual Bonus based on performance; Benefits: Comprehensive health, dental, vision, retirement, vacation, mental health days, tuition reimbursement

Skills & Requirements

Must-have

  • Machine learning and AI solutions
  • Python programming skills
  • Experience with modern ML frameworks
  • Cloud development environments
  • Large language model implementation
  • Version control systems

Nice-to-have

  • Strong communication and problem-solving
  • Collaboration with product and engineering teams
  • Experience with retrieval-augmented generation
  • Publications in relevant AI/ML venues
  • Hybrid work model flexibility
  • Work-life balance supportive policies

Key Requirements

  • PhD or Master’s in Computer Science or related field
  • 1-2 years hands-on ML system building experience
  • Experience with information retrieval, NLP, or generative AI
  • Familiarity with LLM evaluation frameworks
  • Publications or preprints in top AI/ML conferences
  • Experience with production code and MLOps

Work Rights

Not specified

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