Machine Learning Engineer
Vor 6 Tagen
Enable the manufacturing of next generation microchips and join #TeamZeiss in the Semiconductor Mask Solutions (SMS) business unit.
Semiconductor lithography drives today's digitalization and inherently relies on defect-free photomasks - the blue print for every microchip. Our devices analyze and manipulate such photomasks by processing huge amounts of data with state-of-the-art algorithms. Become part of the global algorithms team at SMS and shape the future of chip manufacturing
Your Role
As part of an agile team you will work side-by-side with machine learning scientists, software architects, high-performance computing engineers and domain experts to take ML-based data analysis to the next level. Your task is to tune, operate and integrate modern ML system to process simulations and measurements from our high-tech imaging devices. Your innovation-driven mindset makes you follow the latest technical developments, and you embrace the challenge of turning a machine learning solution into a digital product.
Your Profile
- Intensive experience with ML architectures and ML operational tools (Kubeflow, Kubernetes, MLFlow, Data Version Control, Weights & Biases)
- Excellent practical programming skills with scientific Python, C++/C#, CUDA
- Good knowledge in image processing algorithms and computer vision
- University level degree in physics, computer science, engineering, mathematics or similar
- Ideally proven software engineering skills and FOSS contributions
- Problem solver and supportive team player
- very good German und Englisch Skills
Your ZEISS Recruiting Team:
Kathrin Siegel
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