Senior Research Scientist (Foundational Research, Machine Learning) - Thomson Reuters : Job Details

Senior Research Scientist (Foundational Research, Machine Learning)

Thomson Reuters

Job Location : New York,NY, USA

Posted on : 2025-04-29T00:54:49Z

Job Description :

Employer Industry: Information Services

Why consider this job opportunity:

  • Join a leading organization renowned for its commitment to equality, diversity, and inclusion.
  • Opportunity for personal and professional growth within a collaborative and innovative environment.
  • Flexible hybrid work model with 2-3 days a week in the office.
  • Comprehensive benefits including flexible vacation, mental health days off, and various wellbeing resources.
  • Engage in purpose-driven work that contributes to justice, truth, and transparency globally.
  • Access to advanced data, compute resources, and participation in impactful research projects.
  • What to Expect (Job Responsibilities):

  • Innovate and develop new ML/NLP/GenAI approaches while mentoring with leading experts.
  • Participate in the entire research and model development lifecycle from brainstorming to delivering reports.
  • Collaborate with a global team of research engineers and academic partners.
  • Publish research findings at leading international academic conferences.
  • Solve real-world challenges using a wealth of unique data available to the team.
  • What is Required (Qualifications):

  • PhD student or recent graduate with research experience in a technical discipline.
  • First-author publications at relevant academic venues such as NeurIPS, ICML, or similar.
  • Excellent communication skills for reporting and presenting research findings.
  • Self-driven attitude and ability to work with limited supervision.
  • Comfortable working in fast-paced, agile environments with uncertainty.
  • How to Stand Out (Preferred Qualifications):

  • Experience with state-of-the-art research topics in large language models (LLMs).
  • Familiarity with cloud tools like Amazon AWS, MS Azure, or Google Cloud.
  • Previous experience with large-scale machine learning systems.
  • Strong software and/or infrastructure engineering skills demonstrated through contributions to open-source libraries.
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