Research Intern – Machine Learning, Natural Language Processing

Thomson Reuters

Research Intern leading independent research projects at Thomson Reuters Labs in AI and NLP. Collaborating with global experts on cutting-edge technology applications.

Posted 6/2/2026internshipZug • 🇨🇭 SwitzerlandEntry LevelWebsite

Tech Stack

Tools & technologies

AWSAzureCloudPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Drive Research: Lead experiments to answer 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

Requirements

What you’ll need

Currently enrolled in a PhD program in Computer Science, Computational Linguistics, or related field with demonstrated research experience (at least 1 publication required)
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.)
Experience working with unstructured datasets and applying data preprocessing techniques
Data-driven approach to problem-solving and decision-making
Familiarity with version control systems (GitHub, GitLab)
Exposure to cloud platforms (AWS, Azure, or Google Cloud)
Strong communication skills and enthusiasm for teamwork.

Benefits

Comp & perks

Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role)
Flex My Way: supportive workplace policies designed to help manage personal and professional responsibilities
Career Development and Growth: culture of continuous learning and skill development
Industry Competitive Benefits: comprehensive benefit plans including flexible vacation, retirement savings, tuition reimbursement, resources for mental, physical, and financial wellbeing
Two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and ESG initiatives

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Natural Language ProcessingMachine LearningLarge Language ModelsPythonPyTorchTensorFlowHugging FaceData PreprocessingML Experiment DesignResearch Experience

Soft Skills

CommunicationTeamworkProblem-solvingDecision-making