Carl Zeiss AG
Internship – Deep Learning for Video Understanding(m/w/x)
Full-timeInternshipOn-site
Oberkochen
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CACarl Zeiss AG
Internship – AI for Multi-variate Time Series Understanding(m/w/x)
Oberkochen
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Researching anomaly detection models for ZEISS applications using real-world datasets. Master's degree in CS/ML and Python/PyTorch experience required. Internship in research-driven setting, focus on time series analysis.
Requirements
- Master's in Computer Science, ML, or related
- Strong ML and deep learning fundamentals
- Experience with Python and ML frameworks (e.g., PyTorch)
- Interest in research and independent work
- Experience with time series, VLM, anomaly detection, or foundation models (plus)
Tasks
- Contribute to research on advanced machine learning methods
- Develop and evaluate models for anomaly detection
- Work with real-world datasets from ZEISS applications
- Implement and analyze state-of-the-art approaches
- Extend models in a ZEISS research-driven setting
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
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CACarl Zeiss AG
Internship – AI for Multi-variate Time Series Understanding(m/w/x)
Oberkochen
Full-timeInternshipOn-site
AI/ML
Data Science
Nejo AI Summary
Researching anomaly detection models for ZEISS applications using real-world datasets. Master's degree in CS/ML and Python/PyTorch experience required. Internship in research-driven setting, focus on time series analysis.
Requirements
- Master's in Computer Science, ML, or related
- Strong ML and deep learning fundamentals
- Experience with Python and ML frameworks (e.g., PyTorch)
- Interest in research and independent work
- Experience with time series, VLM, anomaly detection, or foundation models (plus)
Tasks
- Contribute to research on advanced machine learning methods
- Develop and evaluate models for anomaly detection
- Work with real-world datasets from ZEISS applications
- Implement and analyze state-of-the-art approaches
- Extend models in a ZEISS research-driven setting
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
Science
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 AG
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Masterarbeit zur optischen Anomaliedetektion(m/w/x)
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