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Thomson Reuters

Applied Scientist

Thomson Reuters

Applied Scientist developing AI solutions for business problems at Thomson Reuters. Collaborating with product and engineering teams to deliver measurable impact for legal, tax, and regulatory domains.

Posted 4/20/2026full-timeEagan • Minnesota, Missouri, New York, Virginia • 🇺🇸 United StatesJuniorMid-Level💰 $102,200 - $189,800 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformPythonPyTorch

About the role

Key responsibilities & impact
  • Develop and implement machine learning and AI solutions to address business problems
  • Design experiments, build models, and translate research into production-ready features
  • Collaborate with product and engineering teams to deliver measurable impact for customers
  • Learn from deep domain experts about a variety of complex and interesting real-world problems

Requirements

What you’ll need
  • PhD or Master’s degree in Computer Science, Machine Learning, or a related field
  • 1-2 years of hands-on experience building systems using modern techniques in information retrieval, NLP, machine learning, or generative AI
  • Strong programming skills in Python and familiarity with a modern ML framework (e.g., PyTorch, JAX)
  • Experience working with shared codebases and version control systems
  • Familiarity with cloud development environments (AWS, Azure, or GCP)
  • Experience implementing and evaluating solutions with large language models and LLM evaluation frameworks
  • Publications or preprints in relevant venues (NeurIPS, ACL, EMNLP, ICLR, SIGIR)

Benefits

Comp & perks
  • Hybrid Work Model: Flexible hybrid working environment (2-3 days a week in the office)
  • Flex My Way: Supportive workplace policies for personal and professional responsibilities
  • Career Development and Growth: Continuous learning and skills development culture
  • Industry Competitive Benefits: Flexible vacation, mental health days, retirement savings, tuition reimbursement
  • Social Impact: Two paid volunteer days off and opportunities for pro-bono consulting projects

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningAI solutionsinformation retrievalNLPgenerative AIPythonPyTorchJAXlarge language modelsLLM evaluation frameworks
Soft Skills
collaborationproblem-solvingcommunication
Certifications
PhD in Computer ScienceMaster’s degree in Computer Science