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Research Intern - Machine Learning and Natural Language Processing(m/w/x)
Leading research experiments and designing evaluations for professional content technology in legal, tax, and media. PhD enrollment or research-focused MSc in relevant field required. Work from anywhere 8 weeks/year, two company-wide Mental Health Days.
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
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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Hugging Face
- GitHub
- GitLab
- AWS
- Azure
- Google Cloud
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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Research Intern - Machine Learning and Natural Language Processing(m/w/x)
Leading research experiments and designing evaluations for professional content technology in legal, tax, and media. PhD enrollment or research-focused MSc in relevant field required. Work from anywhere 8 weeks/year, two company-wide Mental Health Days.
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
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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- Hugging Face
- GitHub
- GitLab
- AWS
- Azure
- Google Cloud
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
About the Company
Thomson Reuters
Industry
Media
Description
The company provides trusted content and technology for professionals in legal, tax, accounting, compliance, government, and media.
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