Are you passionate about pushing the boundaries of NLP and ML research? Thomson Reuters Labs in London is seeking a motivated research intern to lead an independent research project at the intersection of cutting-edge AI and real-world applications.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. Labs innovates collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today while investing in long-term research for the future.
About the Role
The Opportunity
As a Research Intern, you'll take ownership of a research project aligned with Thomson Reuters products, working alongside a diverse, interdisciplinary team of global experts. The internship duration at Thomson Reuters Labs is typically six months with a flexible start date aligned with your schedule.
What You'll Do
- Drive Research: Lead experiments to answer a cutting-edge research questions, designing evaluations and analyzing results
- Innovate: Explore novel approaches and emerging technologies that advance TR's product portfolio
- Collaborate & Disseminate: Work with experienced research scientists and share your findings through internal presentations and external publications
About You
The ideal candidate has:
- Academic Foundation: Currently enrolled in a PhD program in Computer Science, Computational Linguistics, or related field, OR hold an MSc in a relevant discipline with demonstrated research experience (publications, thesis work, or research collaborations)
- Technical Expertise:
- Strong understanding of NLP and ML methodologies, including experience with Large Language Models
- Proven ability to design, implement, and evaluate ML experiments
- Proficiency in Python and relevant frameworks (PyTorch, TensorFlow, Hugging Face, etc.)
- Research Skills:
- Experience working with unstructured datasets and applying data preprocessing techniques
- Data-driven approach to problem-solving and decision-making
- Practical Experience:
- Familiarity with version control systems (GitHub, GitLab)
- Exposure to cloud platforms (AWS, Azure, or Google Cloud)
- Collaboration: Strong communication skills and enthusiasm for teamwork
