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Internship – Deep Learning for Video Understanding(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
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Internship – Deep Learning for Video Understanding(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Carl Zeiss AG
Branche
Manufacturing
Beschreibung
Das Unternehmen vereint Innovation und Verantwortung und trägt entscheidend zur strategischen Ausrichtung und zum nachhaltigen Erfolg der ZEISS Gruppe bei.
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