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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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Research Intern - Machine Learning and Natural Language Processing

Thomson Reuters
Found 2 months ago
Location
Zug, Switzerland
Duration (Months)
6 Months
Time
Full-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • PhD
  • Master

Skills & Qualifications

Technical Skills

  • NLP
  • ML methodologies
  • Large Language Models
  • Python
  • PyTorch
  • TensorFlow
  • Hugging Face
  • unstructured datasets
  • data preprocessing
  • version control systems
  • GitHub
  • GitLab
  • cloud platforms
  • AWS
  • Azure
  • Google Cloud

Soft Skills

  • Data-driven approach to problem-solving and decision-making
  • Strong communication skills
  • enthusiasm for teamwork

Job Description

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 RoleThe OpportunityAs 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 DoDrive Research: Lead experiments to answer a cutting-edge research questions, designing evaluations and analyzing resultsInnovate: Explore novel approaches and emerging technologies that advance TR's product portfolioCollaborate & Disseminate: Work with experienced research scientists and share your findings through internal presentations and external publications

Requirements

  • Currently enrolled in a PhD program in Computer Science, Computational Linguistics, or related field
  • MSc in a relevant discipline with demonstrated research experience (publications, thesis work, or research collaborations)
  • Strong understanding of NLP and ML methodologies
  • 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
  • enthusiasm for teamwork

Related Field

  • AI & Machine Learning

Related Subfield

  • Natural Language Processing (NLP)

Languages

  • English

Nice to Haves

  • Publications
  • thesis work
  • research collaborations
▶Apply Now

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