Machine Learning Engineer (f/m/x)

At ZEISS Corporate Research & Technology, we work at the frontier of science and technology. Our mission is to innovate and develop intelligent solutions contributing directly to future ZEISS products. We’re looking for a Machine Learning Engineer (f/m/x) who enjoys working across disciplines and is eager to develop intelligent systems that make a real difference for our co n sumers.  

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 lifecycle s taking ideas from academic and early stages to product launch . Working across the complete ZEISS p roduct 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 you r work y ou will build an excellent network both within ZEISS and to external partners that help us to leverage the latest technolog y advancements to address tomorrow’s challenges .  

• An e xcellent university degree in computer science, engineering or similar – a Ph.D. is a plus

• Strong proficiency in Python with professional software engineering experience ( C++ and C# is a plus)    

• Experience setting up CI/CD pipelines and container orchestration (Azure DevOps, Docker, Kubernetes is a plus)

• Skilled in Infrastructure as Code, cloud deployments, and automated infrastructure workflows (Azure, Ansible, Terraform is a plus)

• Familiarity with Machine Learning lifecycle tools (e.g. MLflow, Kubeflow, DVC)

• Strong project management capabilities—including scope definition, milestone planning, risk mitigation, product backlog maintenance and cross-functional coordination

• Understanding of Machine Learning (ML) algorithms and familiarity with modern Machine Learning libraries

• Hands-on mindset coupled with strong communication and presentation skills

Your ZEISS Recruiting Team:

Nice-to-have skills

• C#
• C++
• Docker
• Kubernetes
• Python

• Oberkochen, Baden-Württemberg, Germany

Work experience

• Machine Learning

Languages

• English