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

 StepStone ·  07.12.2018 ·  Oberkochen (Baden-Württemberg), München oder Jena ·  ZEISS

To strengthen our Team in the Corporate Research and Technology in Oberkochen, Jena or Munich we are seeking Computer Vision and Machine Learning Research Engineers (f/m) With more than 27,000 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.

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

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 (e.g. in AutoML, Reinforcement Learning or Time Series Analysis) or equivalent practical experience

a solid understanding of machine learning and statistics (e.g. Random Forests, Deep & Recurrent Neural Networks, CRFs, etc.) and of best practices in feature extraction, dimensionality reduction and model validation

a strong programming background (Python, C++) and familiarity with toolkits such as OpenCV, ITK, Ten- sorflow, and a working knowledge of software development, and deployment methods. Parallelization 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

For 170 years, ZEISS has embodied a pioneering spirit and a pragmatic approach. ZEISS offers its employees a modern working environment, above-average benefits and a host of opportunities for further development. — ein Projekt von DIPLANET Digital Solutions Impressum