Internship – Deep Learning For Video Understanding (m/f/x)
Zeiss Group
Master's degree in computer science or related field
Strong fundamentals in machine learning and deep learning
Experience with python and pytorch frameworks
This internship offers the opportunity to combine studies with practical experience by contributing to exciting research projects on video-based machine learning methods
Job Summary
This internship offers the opportunity to combine studies with practical experience by contributing to exciting research projects on video-based machine learning methods.
You will develop and evaluate state-of-the-art models for semantic video understanding using real-world datasets from ZEISS applications.
The role requires a structured and independent working style with effective communication skills to present findings in a research-driven setting.
Matching Summary
This internship offers the opportunity to combine studies with practical experience by contributing to exciting research projects on video-based machine learning methods.
Skills & Requirements
Must-have
Master's degree in Computer Science or related field
Strong fundamentals in machine learning and deep learning
Experience with Python and PyTorch frameworks
Nice-to-have
Interest in research and independent problem solving
Experience with video analysis or multimodal learning
High motivation, creativity, and flexibility
Key Requirements
Enrolled in Master's program in Computer Science, Machine Learning, or related field
Experience with common ML frameworks like PyTorch
Ability to work independently on open-ended problems