Machine Learning Scientist

Machine Learning Research Engineer (Foundational Research)

Join a cutting‑edge research team at Thomson Reuters to design, build, and experiment with large language models (LLMs) in an academic environment.

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• Develop machine learning systems with real‑world impact (~90%): help curate training and evaluation datasets.
  
• Define and implement evaluation metrics aligned with practical objectives.
  
• Rapidly prototype and iterate on generative modeling approaches.
  
• Collaborate in a shared codebase with colleagues across research and engineering.
  
• Support the infrastructure used for compute, experimentation, and model development.
  
• Work with experimental teams to plan laboratory testing and run model inference for biological targets.
  
• Integrate laboratory feedback data into model improvements.
  
• Stay informed about the latest advances in machine learning.
  
• Develop working knowledge of protein science and cellular biology.
  
• Participate in internal knowledge‑sharing activities.
  
• Attend relevant scientific or technical events.
  

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• Experience in computational biology, protein design, or ML applications in the life sciences.
  
• Academic training or professional exposure to natural sciences such as physics, biology, or chemistry.
  

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• Competitive compensation and benefits.
  
• Comprehensive health coverage.
  
• Retirement contributions.
  
• Generous leave policies, including inclusive parental leave.
  
• Flexible and hybrid working arrangements.
  
• Opportunities for travel and professional development.
  

We encourage applicants from all backgrounds and are committed to fostering a diverse and inclusive team.