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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Develop core algorithms and translate academic ideas into working prototypes using Visual Language Models and Action Models. Responsibilities include implementing SOTA training techniques, conducting experiments, and documenting findings.
Candidates must be currently enrolled in a master's program with a bachelor's degree in Computer Science, Mathematics, Physics, or a related field. Proficiency in Python, Pytorch, and a solid understanding of ML, Computer Vision, and Transformers are required.
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.
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
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 KlodaZEISS is an internationally leading technology enterprise operating in the fields of optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue totaling almost 12 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology, and Consumer Markets (September 30, 2025). For its customers, ZEISS develops, produces, and distributes highly innovative solutions for industrial metrology and quality assurance, microscopy solutions for the life sciences and materials research, and medical technology solutions for diagnostics and treatment in ophthalmology and microsurgery. The name ZEISS is also synonymous with the world's leading lithography optics, which are used by the chip industry to manufacture semiconductor components. There is global demand for trendsetting ZEISS brand products such as eyeglass lenses, camera lenses, and binoculars. With a portfolio aligned with future growth areas like digitalization, healthcare, and Smart Production and a strong brand, ZEISS is shaping the future of technology and constantly advancing the world of optics and related fields with its solutions. The company's significant, sustainable investments in research and development lay the foundation for the success and continued expansion of ZEISS' technology and market leadership. ZEISS invests 15 percent of its revenue in research and development – this high level of expenditure has a long tradition at ZEISS and is also an investment in the future. With over 46,600 employees, ZEISS is active globally in around 50 countries with more than 60 sales and service locations, around 40 research and development facilities, and 30 production facilities worldwide. Learn more about ZEISS: www.zeiss.com/about Data privacy: www.zeiss.com/data-protection Imprint: www.zeiss.com/publisher This is ZEISS's official LinkedIn account. It follows the ZEISS Netiquette: www.zeiss.com/netiquette
Offices: Carl-Zeiss-Str. 22, Oberkochen, 73447, DE · Carl-Zeiss-Promenade 10, Jena, 07745, DE · 60 Mei Yue Road, Shanghai, 200131, CN · One North Broadway, White Plains, New York 10601, US · Kistlerhofstraße 75, Munich, Bavaria 81379, DE
