Computer Vision and Machine Learning Engineers (f/m) Job in Oberkochen, Germany

A large proportion of all microchips around the globe are produced with optical technologies from ZEISS. As the technology leader in the field of semiconductor manufacturing equipment, ZEISS enables the production of increasingly powerful, more energy-efficient and more economical microchips, and thus plays a pivotal role in the age of microelectronics.

Computer Vision and Machine Learning Engineers (f/m) Job Description

With more than 25,000 employees, ZEISS is one of the global leaders in the optical and optoelectronic industries and has been contributing to technological progress for 170 years. ZEISS develops and distributes lithography optics, measuring technology, microscopes, medical technology, eyeglass lenses, camera and cine lenses, binoculars and planetarium technology.

You will

• drive the development of ZEISS core algorithms that extract information from the diverse data sources present across our complete product portfolio
• take project ideas from academic and idea stages to prototypes
• continuously support technology adoption and integration into our flagship products. This comprises conceptualizing, initiating, prototyping, as well as scaling and instrumenting methods and evaluating their performance
• shape the future of ZEISS. We have just started to scrape the surface of what can be done with the data our products deliver. You will contribute to realizing the prospects of machine learning, modern computer vision and scene under- standing technologies for our customers, as ZEISS continues exploring the data domains of its product portfolio
• build an excellent network with us in both academia and industry that will help ZEISS to leverage the latest technology advancements in order to address tomorrow's challenges

Computer Vision and Machine Learning Engineers (f/m) Job Requirements

You have

• a M.Sc., or Ph.D. in Computer Science with specialization in Computer Vision (e.g. in segmentation, registration, object detection & tracking, anomaly & event detection) and Machine Learning or equivalent practical experience
• a solid understanding of machine learning and statistics (Random Forests, Deep & Recurrent ANNs, CRFs, SVMs, etc.) and of best practices in feature extraction, dimensionality reduction and model validation
• a strong programming background (Python, C++, R, MATLAB) and familiarity with toolkits such as OpenCV, ITK, Ten- sorflow, Theano, and a working knowledge of software development, deployment methods and cloud stacks. Parallel- ization skills (CUDA, OpenCL, OpenMP, etc) are definitely a plus
• an innovative and decidedly hands-on mindset: you love to work on hard problems and you make solutions work in the real world, too
• the ability to communicate your results, challenges and solution successfully across a multidisciplinary and multicultural team

Computer Vision and Machine Learning Engineers (f/m) Application Information

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Computer Vision and Machine Learning Engineers (f/m) Summary

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