Helmholtz Zentrum München is a research center with the mission to discover personalized medical solutions for the prevention and therapy of environmentally triggered diseases and promote a healthier society in a rapidly changing world.

Germany’s largest research organization, the Helmholtz Association, launched Helmholtz AI: This dedicated, interdisciplinary platform develops and promotes applied Artificial Intelligence (AI) methods for the Association’s main research fields (Health, Energy, Earth and Environment, Information, Space, Matter) in collaboration with its external and university partners. Its central unit operates at the Helmholtz Zentrum München in Munich.

Our mission is to enable research scientists to leverage AI methods optimally. The Munich consultant team is focussing on Health and collaborates with researchers from the whole Association on projects on cancer and infection research, molecular medicine, as well as neurodegenerative and environmental diseases. We offer you the unique opportunity to use your expertise in software development to answer questions of great societal importance in a vibrant international environment.

To join our growing team, we are inviting applications for

Machine learning engineer for AI applications (f/m/x)  101024

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Your responsibilities

    You will create AI tools for the unique data sets generated by renowned researchers, with a focus on Health applications. You will also play a crucial role in achieving our long-term goal of facilitating open access to AI expertise by contributing to open-source initiatives.

    You will

  • develop, deploy and maintain open-source scientific software to solve concrete research questions
  • work closely with a team of talented scientists to bring machine learning models into quality software
  • continuously learn about state-of-the-art and emerging AI methods
  • network with IT and HPC experts and within the Helmholtz AI initiative

Your have

  • a master degree in computer science, software engineering or a related field
  • strong interest, and ideally experience, in developing AI and machine learning pipelines, ideally combined with an interest in related IT infrastructures
  • proficiency developing production-quality software  object-oriented programming with in Python, experience with deep learning frameworks, e.g. Tensorflow, Pytorch is a plus
  • experience with software engineering practices including coding standards, code reviews, version control, build processes, testing, and operations, ideally in an open-source context
  • strong team spirit and enthusiasm for sharing best practices

What we offer you

continuous education & training
work life balance
flexible working hours & time off in lieu
30 days annual leave
onsite health management service
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Munich, with its numerous lakes and its vicinity to the Alps, is considered to be one of the cities with the best quality of life worldwide. With its first-class universities and world-leading research institutions it offers an intellectually stimulating environment.

Your scientific career is important to us, that’s why this position provides the opportunity for you to build specialist knowledge and gather significant professional experience.

Remuneration and social benefits are based on the collective wage agreement for public-sector employees at federal level (TV EntgO Bund). The position is (initially) limited to 2 years.

To promote diversity, we welcome applications from talented people regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age until 2021-09-29. Qualified applicants with physical disabilities will be given preference.

We are looking forward to receiving your comprehensive online application. Please send your application (in English) in a single PDF file – including cover letter, CV and contact details of at least two references.


If you have further questions, simply contact Marie Piraud (, who will be happy to be of assistance.

We are looking forward to receiving your comprehensive online application. Please send your application (in English) in a single PDF file – including cover letter, CV and contact details of at least two references.

Helmholtz Zentrum München
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Helmholtz AI
Ingolstädter Landstraße 1

85764 Neuherberg near Munich

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