Development Engineer Deep Learning at Rheinmetall Air Defence AG
Dietlikon, Zurich, Switzerland
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Summary
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Raphael Emberger is a Development Engineer in Deep Learning with nine years of experience applying AI across computer vision, NLP, and reinforcement learning domains. He combines academic rigor—MSc in Data Science and multiple peer-reviewed papers—with hands-on engineering, having built MLOps monitoring tools and integrated models into production software like Audiveris. His research has produced practical innovations such as ScoreAug for music object recognition and a feature augmentation method that earned a best-paper nomination for privacy-preserving video object detection in ICU settings. Comfortable switching between low-level system work and cutting-edge ML research, he has driven projects in mechanical, medical, and creative music generation contexts. Based in Zurich, he brings a rare mix of cross-disciplinary curiosity and production discipline, including maintaining AUR packages to broaden tool accessibility. Colleagues value him for adaptability, practical impact, and a knack for turning research ideas into deployable solutions.
9 years of coding experience
4 years of employment as a software developer
Computer Science, passed, Computer Science, passed at 長岡技術科学大学
Master of Science - MS, Data Science, Master of Science - MS, Data Science at ZHAW School of Engineering
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Raphael Emberger - Development Engineer Deep Learning at Rheinmetall Air Defence AG