Welcome to ZEISS – a company that combines innovation and responsibility! Our corporate functions are diverse and make a decisive contribution to the strategic orientation and sustainable success of ZEISS.

Your role

At ZEISS Corporate Research & Technology, we are offering student positions (internship and/or master’s thesis) starting from September 2026 in the area of multimodal AI and video understanding.

You will work on research problems at the intersection of vision, language, and structured data, with a focus on developing models that can understand complex real-world scenarios such as surgical workflows
The goal is to move beyond frame-level analysis towards holistic, temporally consistent representations that integrate multiple sources of information
Your tasks Contribute to research on multimodal and video-based machine learning methods, develop and evaluate models for holistic video understanding (e.g. video-language models, temporal reasoning, multimodal fusion)
Work with real-world datasets and problem settings from ZEISS applications, implement and analyze state-of-the-art approaches and extend them in a research-driven setting

Your profile

Enrolled in a Master’s or PhD program in Computer Science, Machine Learning, or a related field in Germany
Strong fundamentals in machine learning and deep learning
Experience with Python and common ML frameworks (e.g. PyTorch)
Interest in research and ability to work independently on open-ended problems
Experience with video analysis, multimodal learning, or foundation models is a plus

What we offer

Opportunity to work on cutting-edge research with real-world impact
Close collaboration with research teams at ZEISS Corporate Research and Technology
Possibility to transition from internship to master’s thesis based on performance
Access to challenging datasets and modern ML infrastructure

Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records).

Your ZEISS Recruiting Team:

Ines Kloda

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