PhD Research Scientist Intern - Foundational Research

Interested in training and evaluating large‑scale language models (>200B) in a frontier research team focused on AI impact in high‑stakes domains? Thomson Reuters Foundational Research offers an opportunity to conduct research and publish on a wide range of AI topics while working in a data‑ and compute‑rich environment that tackles economically impactful problems.

About The Role

We are seeking PhD Research Scientist Interns with flexible start dates throughout the year for London, Toronto, and Zug locations. During the internship you will focus on publishing high‑quality research in top venues for Machine Learning and NLP while advancing Thomson Reuters’ internal model development. Interns work collaboratively with a global team of researchers and engineers, publishing findings and contributing to proprietary AI model research and development.

• Innovate: Develop state‑of‑the‑art ML/NLP/IR/GenAI approaches and solve real‑world challenges using a wealth of data.
• Experiment and Develop: Participate in the full research and model development lifecycle, from brainstorming and coding to testing and delivering high‑quality reports for leading international conferences.
• Collaborate: Work with researchers and engineers worldwide, including academic partners at world‑leading universities.
• Communicate: Share technical findings through seminars, lectures, conferences, and publications.

About You

• PhD student or recent graduate with research experience in a relevant discipline.
• Publications in top‑tier conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, or NAACL.
• Familiarity with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow).
• Excellent communication skills for presenting research findings both orally and in writing.
• Curious, innovative disposition capable of devising novel, well‑justified algorithmic solutions.

Preferred Qualifications

• Experience working on state‑of‑the‑art research topics related to large language models (LLMs).
• Impactful first‑author publications in top‑tier venues.
• Open‑source contributions that demonstrate strong software and/or infrastructure engineering skills.
• Experience training large‑scale models on distributed nodes using cloud tools such as AWS, Azure, or GCP.

What’s in it for You?

• Learning and development: On‑the‑job coaching, mentorship, and exposure to cutting‑edge methods and technologies.
• Large datasets, compute, and high‑impact problems: Access to extensive legal, regulatory, news, and tax data and cloud computing platforms.
• Competitive compensation and flexible work arrangements: Hybrid work model with 2–3 days in office, work‑from‑anywhere options, and support for work‑life balance.
• Industry‑competitive benefits: Flexible vacation, mental health days, Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
• Commitment to inclusion and belonging: Global culture that values diversity and offers opportunities for social impact through volunteer days and ESG initiatives.
• Real‑world impact: Contribute to tools that help customers pursue justice, truth, and transparency.

Equal Employment Opportunity Statement Thomson Reuters is an Equal Employment Opportunity Employer. We hire and recruit based on fairness, ensuring that all employees and applicants are treated equally and without discrimination. We provide reasonable accommodations for qualified individuals with disabilities and sincerely held religious beliefs as required under applicable law.