Huawei Research Center Germany & Austria
Intern - Generative AI for Safety Relevant Systems(m/w/x)
Full-timeInternshipOn-site
München
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AIAirbus Defence and Space GmbH
Intern in Natural Language Processing(m/w/x)
München
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Implementing and evaluating algorithms for multimodal Retrieval-Augmented Generation; investigating LLM hallucination at aerospace manufacturer. First practical experience in Natural Language Processing or generative AI required. Flexible working arrangements.
Requirements
- Enrollment as a full-time student in Artificial Intelligence or equivalent field
- First practical experience in Natural Language Processing or generative AI
- Proficiency in English, knowledge of German or French is a plus
- Experience with Python programming language
- Ability to work independently
- Awareness of compliance risks and commitment to integrity
Tasks
- Support research activities by implementing algorithms
- Evaluate algorithms for multimodal Retrieval-Augmented Generation
- Investigate hallucination in LLM-generated answers
- Collaborate closely with the research team
- Communicate results and experiments within the team
- Prepare a study report
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
- French – Basic
Tools & Technologies
- Python
Benefits
Competitive Pay
- Attractive salary
Family Support
- Work-life balance
Informal Culture
- International environment
Career Advancement
- Opportunity to network globally
Flexible Working
- Flexible working arrangements
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Airbus Defence and Space GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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AIAirbus Defence and Space GmbH
Intern in Natural Language Processing(m/w/x)
München
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Implementing and evaluating algorithms for multimodal Retrieval-Augmented Generation; investigating LLM hallucination at aerospace manufacturer. First practical experience in Natural Language Processing or generative AI required. Flexible working arrangements.
Requirements
- Enrollment as a full-time student in Artificial Intelligence or equivalent field
- First practical experience in Natural Language Processing or generative AI
- Proficiency in English, knowledge of German or French is a plus
- Experience with Python programming language
- Ability to work independently
- Awareness of compliance risks and commitment to integrity
Tasks
- Support research activities by implementing algorithms
- Evaluate algorithms for multimodal Retrieval-Augmented Generation
- Investigate hallucination in LLM-generated answers
- Collaborate closely with the research team
- Communicate results and experiments within the team
- Prepare a study report
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
- French – Basic
Tools & Technologies
- Python
Benefits
Competitive Pay
- Attractive salary
Family Support
- Work-life balance
Informal Culture
- International environment
Career Advancement
- Opportunity to network globally
Flexible Working
- Flexible working arrangements
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Airbus Defence and Space GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Airbus Defence and Space GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
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