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Thomson Reuters
4mo ago

Applied Scientist Intern(m/w/x)

Zug
Full-timeInternshipWith Home Office
AI/ML
Data Science

Description

As an Applied Scientist Intern, you will engage in the full model development lifecycle, collaborating with a diverse team to explore innovative solutions to real-world problems using machine learning and natural language processing.

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Requirements

  • MSc degree related to machine learning and NLP or enrollment in a PhD program in a relevant discipline
  • Understanding and experience with Natural Language Processing and/or Machine Learning methods including Large Language Models
  • Experience creating and evaluating experiments related to Machine Learning or Large Language Models
  • Proficiency in implementing solutions using Python, DL/ML/NLP frameworks, and relevant tools
  • Experience in using code collaboration and versioning systems such as GitHub
  • Familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud
  • Comfortable working with unstructured datasets and knowledgeable about tools and techniques for data cleaning and processing
  • Data-driven problem-solving and decision-making mindset
  • Good communication skills and ability to work collaboratively as part of a team

Education

Master's degree
OR
Currently in higher education

Tasks

  • Experiment with model development
  • Build and test high-quality solutions
  • Collaborate with a cross-functional team
  • Learn from global colleagues
  • Innovate by trying new approaches
  • Contribute ideas to solve real-world challenges

Tools & Technologies

PythonDL/ML/NLP frameworksGitHubAmazon AWSMS AzureGoogle Cloud

Languages

EnglishBusiness Fluent

Benefits

Flexible Working

  • Flexible hybrid working environment
  • Flexible work arrangements

Other Benefits

  • Supportive workplace policies
  • Comprehensive benefit plans

Workation & Sabbatical

  • Work from anywhere for up to 8 weeks

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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