Carl Zeiss Meditec AG
Intern AI Innovation for Medical Devices(m/w/x)
Full-timeInternshipOn-site
Oberkochen
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CACarl Zeiss AG
Internship – Deep Learning for Video Understanding(m/w/x)
Oberkochen
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Developing semantic video understanding models with real-world ZEISS datasets. Master's enrollment in CS/ML or related field required. Internship with independent research on open-ended problems.
Requirements
- Enrolled in Master’s in Computer Science, ML, or related field
- Strong ML and deep learning fundamentals
- Experience with Python and common ML frameworks (e.g. PyTorch)
- Interest in research and independent work on open-ended problems
- Experience with video analysis, multimodal learning, or foundation models (plus)
- High motivation, creativity, flexibility, structured and independent work
- Effective communication and presentation skills
Tasks
- Contribute to video-based machine learning research
- Develop and evaluate semantic video understanding models
- Work with real-world ZEISS datasets and problem settings
- Implement and analyze state-of-the-art approaches
- Extend research-driven methods
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Carl Zeiss AG 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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CACarl Zeiss AG
Internship – Deep Learning for Video Understanding(m/w/x)
Oberkochen
Full-timeInternshipOn-site
AI/ML
Nejo AI Summary
Developing semantic video understanding models with real-world ZEISS datasets. Master's enrollment in CS/ML or related field required. Internship with independent research on open-ended problems.
Requirements
- Enrolled in Master’s in Computer Science, ML, or related field
- Strong ML and deep learning fundamentals
- Experience with Python and common ML frameworks (e.g. PyTorch)
- Interest in research and independent work on open-ended problems
- Experience with video analysis, multimodal learning, or foundation models (plus)
- High motivation, creativity, flexibility, structured and independent work
- Effective communication and presentation skills
Tasks
- Contribute to video-based machine learning research
- Develop and evaluate semantic video understanding models
- Work with real-world ZEISS datasets and problem settings
- Implement and analyze state-of-the-art approaches
- Extend research-driven methods
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Carl Zeiss AG 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
Carl Zeiss AG
Industry
Manufacturing
Description
Das Unternehmen vereint Innovation und Verantwortung und trägt entscheidend zur strategischen Ausrichtung und zum nachhaltigen Erfolg der ZEISS Gruppe bei.
Not a perfect match?
- Carl Zeiss Meditec AG
Intern AI Innovation for Medical Devices(m/w/x)
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Full-timeInternshipOn-siteOberkochen - Carl Zeiss AG
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Masterarbeit zur optischen Anomaliedetektion(m/w/x)
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