Internship Multimodal AI for Video Understanding (m/f/x)

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) 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