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Applied Scientist Intern(m/w/x)
Experimenting with LLM and NLP model development for professional content and technology. MSc in ML/NLP or PhD enrollment, with LLM/NLP experiment design experience required. Work from anywhere for up to 8 weeks.
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
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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- DL/ML/NLP frameworks
- GitHub
- Amazon AWS
- MS Azure
- Google Cloud
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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Applied Scientist Intern(m/w/x)
Experimenting with LLM and NLP model development for professional content and technology. MSc in ML/NLP or PhD enrollment, with LLM/NLP experiment design experience required. Work from anywhere for up to 8 weeks.
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
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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- DL/ML/NLP frameworks
- GitHub
- Amazon AWS
- MS Azure
- Google Cloud
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
About the Company
Thomson Reuters
Industry
IT
Description
The company provides trusted content and technology for professionals in legal, tax, accounting, compliance, government, and media.
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