Your Role
We are seeking passionate and talented machine learning engineers who want to drive the development of next generation products and cutting-edge machine learning solutions at ZEISS. Integrated in a team of scientists and research engineers at ZEISS Corporate Research & Technology, you will develop algorithms and support end-to-end machine learning lifecycles, taking ideas from academic and early stages to prototypes. Working across the complete ZEISS product portfolio, you will drive technology adoption and integration of latest advancements in machine learning, computer vision, imaging, and optical metrology. Alongside the team, you will implement best practices to enhance the existing codebase and infrastructure with a focus on stability and scalability. You will actively research, develop, and promote best practices, contributing to knowledge exchange within the team and the broader ZEISS machine learning community. During your work, you will build an excellent network both within ZEISS and with external partners that help us to leverage the latest technology advancements to address tomorrow’s challenges.
Your Profile
* A university degree in computer science, engineering, or similar – a Ph.D. is a plus.
* Professional experience in software engineering, DevOps, or machine learning related roles.
* Deep understanding of machine learning & deep learning algorithms and strong interest in algorithmic stability monitoring.
* Strong record of programming in Python or C++ with solid knowledge of modern ML tech stacks.
* Proven experience in CI/CD solutions, virtualization technologies, and container orchestration – state of the art cloud providers is a plus.
* Hands-on mindset coupled with strong communication and presentation skills.
Your ZEISS Recruiting Team:
Katharina Dandorfer
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