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Machine Learning Engineer (m/f/x)

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ZEISS Group

Today

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

AI generated summary

  • You need a degree in computer science or engineering, experience in software/DevOps/machine learning, proficiency in Python/C++, CI/CD, and strong communication skills.
  • You will develop machine learning algorithms, support end-to-end lifecycles, enhance codebase stability, research best practices, and build a network for technology advancement.

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 strong communication and presentation skills

Responsibilities

  • 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 to external partners that help us to leverage the latest technology advancements to address tomorrow’s challenges.

FAQs

What is the job title for this position?

The job title is Machine Learning Engineer (m/f/x).

What kind of team will I be integrated into?

You will be integrated into a team of scientists and research engineers at ZEISS Corporate Research & Technology.

What is the primary focus of this role?

The primary focus of this role is to develop algorithms and support end-to-end machine learning lifecycles, taking ideas from academic stages to prototypes.

What qualifications are required for this position?

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

What programming languages should I be proficient in?

You should have a strong record of programming in Python or C++.

Is experience with CI/CD solutions necessary for this role?

Yes, proven experience in CI/CD solutions, virtualization technologies, and container orchestration is necessary.

What level of experience is expected for candidates applying for this position?

Candidates should have professional experience in software engineering, DevOps, or machine learning-related roles.

Are there opportunities for knowledge exchange within the team?

Yes, you will contribute to knowledge exchange within the team and the broader ZEISS machine learning community.

Will I have the opportunity to build a network with external partners?

Yes, during your work, you will build an excellent network both within ZEISS and with external partners.

What qualities are desirable in terms of communication?

Strong communication and presentation skills are desired qualities for this role.

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ZEISS Group

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.