Machine Learning Engineer (m/f/x)

ZEISS Group; Oberkochen; Vor Ort; EUR 50.000 - 90.000; Vollzeit

Zusammenfassung

ZEISS Group is seeking a passionate Machine Learning Engineer to develop cutting-edge algorithms for next-generation products. You will work closely with scientists and engineers, driving technology integration and participating in knowledge exchange within the machine learning community. A degree in computer science or engineering is required, and a Ph.D. is a plus.

Qualifikationen

• Professional experience in software engineering, DevOps, or machine learning.
• Strong record in programming in Python or C++.
• Deep understanding of machine learning algorithms.

Aufgaben

• Develop algorithms and support the end-to-end machine learning lifecycle.
• Drive technology adoption and integration of machine learning advancements.
• Enhance existing codebase and infrastructure focusing on stability.

Kenntnisse

Machine Learning

Deep Learning

Python

C++

DevOps

CI/CD

Communication

Presentation Skills

Ausbildung

University degree in computer science or engineering

Ph.D. (preferred)

Tools

Cloud providers

Container orchestration

Virtualization technologies

Jobbeschreibung

At Corporate Research & Technology Department, we look at the innovations and developments of tomorrow. We research, analyse, advise and develop. All our ideas flow into future ZEISS products. We are looking for passionate and talented Machine Learning Engineer (m/w/d) to join our team and help drive the development of next-generation products and cutting-edge algorithms at ZEISS.

Your Role

• Integrated in a team of scientists and research engineers you will develop algorithms and support end-to-end machine learning lifecycle taking ideas from academic and early stages to prototypes.
• Working across complete ZEISS Product portfolio you will drive technology adoption and integration of latest advancements in machine learning, computer vision, scene understanding, imaging and optical metrology.
• Alongside the team, you will implement best practices to enhance 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 work you will build an excellent network in both academia and industry 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 techstacks.
• 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 communication and presentation skills.
  
  

Please include your references with your application. We look forward to getting to know you.

Your ZEISS Recruiting Team

Katharina Dandorfer