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Internship in Machine Learning, Visual Language (Action) Models (f/m/x)

ZEISS Group -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 10 Tagen

Qualifikationen

Informatik
PyTorch
Master
Präsentationserfahrung
Bachelor
Machine Learning
Physik
Python

Vollständige Stellenbeschreibung

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.

We are seeking passionate and talented students who want to make an impact by helping to develop next generation products and innovative machine learning algorithms at ZEISS.

Integrated in a fast-growing team of scientists and research engineers, you will work (for at least 3 months (ideally 6), starting as early as possible, preferably already from August or September) on helping us to develop core algorithms and taking academic ideas into working prototypes.

Your role

With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally.

Work with the latest VLMs and / or VLAs
Read latest research on the topic, implement and use SOTA training techniques
Evaluate results qualitatively, come up with metrics to do quantitative evaluations
Plan and conduct experiments, benchmark and analyze results
Document your findings

Your profile

Bachelor’s degree in Computer Science, Mathematics, Physics, or related fields with an outstanding study record, and currently enrolled in a master’s program
Solid understanding of Machine Learning and Computer Vision
Solid understanding of transformers, LLMs and VLMs
Programming background in Python and hands-on experience with Pytorch
Effective communication and presentation skills in English

Ways to stand out:

Industrial / academic experience with VLMs / VLAs, publications on the topic
Solid understanding of modern Reinforcement Learning
Solid understanding of Flow Matching

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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Erweiterte Suche

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