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Thomson Reuters
23d ago

Research Intern - Machine Learning and Natural Language Processing(m/w/x)

Zug
Full-timeInternshipWith Home Office
AI/ML

Description

As a research intern, you will dive into innovative machine learning and natural language processing projects, conducting experiments and collaborating with experts to share insights both internally and externally.

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Requirements

  • •Enrollment in a PhD program in Computer Science, Computational Linguistics, or related field, or MSc in a relevant discipline with research experience
  • •Strong understanding of NLP and ML methodologies, including experience with Large Language Models
  • •Proficiency in Python and relevant frameworks (PyTorch, TensorFlow, Hugging Face)
  • •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

Education

Currently in higher education
OR
Master's degree

Tasks

  • •Lead experiments to address research questions
  • •Design evaluations and analyze results
  • •Explore novel approaches and emerging technologies
  • •Advance the company's product portfolio
  • •Collaborate with experienced research scientists
  • •Share findings through internal presentations
  • •Publish results in external publications

Tools & Technologies

PythonPyTorchTensorFlowHugging FaceGitHubGitLabAWSAzureGoogle Cloud

Languages

English – Business Fluent

Benefits

Flexible Working

  • •Flexible hybrid working environment

Workation & Sabbatical

  • •Work from anywhere for up to 8 weeks per year

Learning & Development

  • •Continuous learning and skill development

More Vacation Days

  • •Flexible vacation

Mental Health Support

  • •Two company-wide Mental Health Days off
  • •Access to the Headspace app
  • •Resources for mental, physical, and financial wellbeing

Retirement Plans

  • •Retirement savings

Additional Allowances

  • •Tuition reimbursement

Bonuses & Incentives

  • •Employee incentive programs

Social Impact

  • •Two paid volunteer days off annually
  • •Opportunities for pro-bono consulting projects

Sustainability Focus

  • •Environmental, Social, and Governance initiatives
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