Machine Learning Engineer in Health Research (f/m/x)
102641
Full time
39 hrs./week
Neuherberg near Munich
Home Office Options (remote 3 days max. per week)
The mission of Helmholtz AI, whose central unit is implemented at Helmholtz Munich, is to enable the transfer of Artificial Intelligence (AI) into practice. Since its inception, the AI consultant team has been providing Machine Learning (ML) expertise to Health research scientists from Germany’s largest research organization, the Helmholtz Association, with great success. It is now broadening its scope to facilitate access to AI computing infrastructure and expertise for industry, especially small and medium-sized enterprises (SMEs), including start-ups.
To join our growing team, we are inviting applications for the position of Machine Learning Engineer (f/m/x) for AI Applications.
We offer you the unique opportunity to use your expertise in AI development and High-Performance Computing (HPC) to answer questions of great societal importance in a vibrant international environment, with a focus on bridging the gap between academic research and industry applications. You will create AI tools for the unique datasets generated by renowned researchers and industry partners alike. 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.
Your tasks
* be a point of contact for questions related to ML/AI on HPC systems and provide critical assessments of the projects of our partners
* develop, deploy and maintain scientific software to solve concrete research questions with ML/AI
* 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 Helmholtz Munich and the Helmholtz AI initiative
Your profile
* an excellent master's degree in computer science, software engineering or a related field
* proficiency developing production-quality software in object-oriented programming with Python
* a track record in developing ML/AI pipelines on HPC systems, familiarity with MLOps practices 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
* a high degree of autonomy, excellent problem-solving skills, and the ability to communicate clearly with different stakeholders
* strong team spirit and enthusiasm for sharing best practices
Benefits
* Career Development: Postdoc program, scientific training & career center with tailored offers
* Scientific Resources: State-of-the-art infrastructure and Core Facilities
* Recreation: 30 days annual leave, flexi days, plus public holidays
* International Staff Service: Support with the relocation and integration process in Germany
* Health Promotion: Sports, company doctor, mental health initiatives
If you fulfil all the requirements, you may be eligible for a salary grade of up to E 13. Social benefits are based on the Collective Wage Agreement for Public-Sector Employees (TVöD). The position has an (initial) fixed term of 2 years but may be extended under certain circumstances. The position offers home office options of up to 3 days per week, therefore it cannot be offered as a fully remote position.
We are committed to promoting a culture of diversity and welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference.
If you have obtained a university degree abroad, we will require further documents from you regarding the comparability of your degree.Please request the Statement of Comparability for Foreign Higher Education Qualifications as early as possible.
Interested in applying?
If you have any questions, feel free to contact Dr. Marie Piraud, marie.piraud@helmholtz-munich.de, who will be happy to help.
Your application should include
* CV
* Contact details for at least two referees
* Transcripts of records
We are Helmholtz Munich.
Why join us?
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Helmholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Helmholtz AI
Ingolstädter Landstraße 1
85764 Oberschleißheim
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