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Machine Learning Engineer (m/f/x)

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • Oberkochen

AI generated summary

  • You should have a degree in computer science or engineering, experience in ML/DevOps, strong Python/C++ skills, CI/CD knowledge, and a hands-on mindset with good communication abilities.
  • You will develop machine learning algorithms, support the end-to-end lifecycle, enhance code infrastructure, and engage in knowledge exchange within the team and broader community.

Requirements

  • 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.

Responsibilities

  • 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.

FAQs

What kind of projects will I be working on as a Machine Learning Engineer at ZEISS?

You will develop algorithms and support the end-to-end machine learning lifecycle, taking ideas from academic stages to prototypes across the complete ZEISS product portfolio.

Is a Ph.D. required for this position?

A Ph.D. is considered a plus, but a university degree in computer science, engineering, or a similar field is required.

What programming languages should I be proficient in for this role?

You should have a strong record of programming in Python or C++, along with solid knowledge of modern machine learning tech stacks.

Are there opportunities for collaboration with academia?

Yes, you will build an excellent network in both academia and industry to leverage the latest technology advancements.

What is the emphasis on coding practices in this role?

You will implement best practices to enhance the existing codebase and infrastructure, focusing on stability and scalability.

What skills are important for this position beyond technical proficiency?

Strong communication and presentation skills, along with a hands-on mindset, are important for success in this role.

Is experience in CI/CD solutions and cloud providers necessary?

Proven experience in CI/CD solutions, virtualization technologies, and container orchestration is preferred, with familiarity with state-of-the-art cloud providers being a plus.

Will I be part of a team in this role?

Yes, you will be integrated into a team of scientists and research engineers, working collaboratively on various projects.

How does ZEISS support knowledge exchange among its employees?

You will actively contribute to knowledge exchange within the team and the broader ZEISS machine learning community by promoting best practices.

What should I include in my application?

Please include your references with your application when applying for the position.

Manufacturing & Electronics
Industry
10,001+
Employees
1846
Founded Year

Mission & Purpose

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.