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 consumers.
Your RoleIntegrated 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 product launch. 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 to external partners that help us to leverage the latest technology advancements to address tomorrow’s challenges.
Your ProfileAn excellent 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:
Friederike Kirklar-HarmsSimilar Jobs
What We Do
ZEISS is an internationally leading technology enterprise operating in the fields of optics and optoelectronics. In the previous fiscal year, the ZEISS Group generated annual revenue totaling 10 billion euros in its four segments Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology and Consumer Markets (status: 30 September 2023). With around 43,000 employees, ZEISS is active globally in almost 50 countries with around 30 production sites, 60 sales and service companies and 27 research and development facilities (status: 30 September 2023). Founded in 1846 in Jena, the company is headquartered in Oberkochen, Germany. The Carl Zeiss Foundation, one of the largest foundations in Germany committed to the promotion of science, is the sole owner of the holding company, Carl Zeiss AG. Data privacy: www.zeiss.com/data-protection Imprint: http://zeiss.com/publisher This is ZEISS's official LinkedIn account. It follows the ZEISS Netiquette: www.zeiss.com/netiquette
