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Application Developer (f/m/d) for Machine Learning (ML)-based Application Development in Magnetic Resonance Imaging (MR)

Application Developer (f/m/d) for Machine Learning (ML)-based Application Development in Magnetic Resonance Imaging (MR)

Siemens AG

Industrie und Maschinenbau

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Application Developer (f/m/d) for Machine Learning (ML)-based Application Development in Magnetic Resonance Imaging (MR)

Über diesen Job

Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.

We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sounds interesting?

Then come and join our global team as  Application Developer (f/m/d) for Machine Learning based Application Development in Magnetic Resonance Imaging (MRI).

Choose the best place for your work – Within the scope of this position, it is possible, in consultation with your manager, to work mobile (within Germany) up to an average volume of 60% of the respective working hours.


Your tasks and responsibilities:

  • You develop and implement machine learning algorithms to enhance MR imaging and diagnostics.
  • You collaborate closely with radiologists and other medical professionals to understand clinical requirements and translate them into technical solutions.
  • You design, develop, and maintain MRI applications and software tools.
  • You conduct data analysis and preprocessing to prepare datasets for machine learning models.
  • You evaluate and optimize machine learning models for performance and accuracy.
  • You integrate machine learning models into existing MRI software and workflows.
  • You stay up to date with the latest advancements in machine learning and MRI technology.
  • You provide technical support and troubleshooting for MRI applications.

To find out more about the specific business, have a look at Magnetic Resonance Imaging  

Your qualifications and experience:

  • You have successfully completed a university degree (Master's/Diploma) in Physics, Computer Science, Machine Learning, Biomedical Engineering or similar; a PhD degree is a plus.
  • You have several years of professional experience in developing and deploying machine learning models, preferably within medical imaging or healthcare.
  • You have strong programming skills in languages such as Python and C++.
  • You have experience with machine learning frameworks and libraries (e.g. TensorFlow, PyTorch, scikit-learn).
  • You show a solid understanding of MRI physics and imaging techniques.
  • You are familiar with medical imaging standards and protocols (e.g. DICOM).
  • You have experience in test driven development and unit testing.
  • Preferably you have previous experience in the healthcare or medical imaging industry as well as knowledge of regulatory requirements for medical devices and software.


Your attributes and skills:

  • Since the development teams of the Application Release Train are spread internationally across three locations, communication in English is not a problem for you.
  • We win together - that's why you are proactively committed to delivering the best possible solutions to our customers.
  • You present your ideas and results confidently and convincingly in cross-functional development teams.
  • Personally, you are characterized by your strong teamwork and cooperation skills as well as your persuasiveness.
  • The highest quality standards in product development are a matter of course for you.

Our global team:

Siemens Healthineers is a leading global medical technology company. 73,000 dedicated colleagues in over 70 countries are driven to shape the future of healthcare. An estimated 5 million patients across the globe benefit every day from our innovative technologies and services in the areas of diagnostic and therapeutic imaging, laboratory diagnostics and molecular medicine, as well as digital health and enterprise services.

Our culture:

Our culture embraces different perspectives, open debate, and the will to challenge convention. Change is a constant aspect of our work. We aspire to lead the change in our industry rather than just react to it. That’s why we invite you to take on new challenges, test your ideas, and celebrate success. Check our Careers Site at https://www.siemens-healthineers.com/de/careers

As an equal opportunity employer, we welcome applications from individuals with disabilities.#myabilityshs

Wish to find out more before applying? Contact us: +49 (9131) / 17 – 1717, if you wish to discuss any initial questions with our recruitment team. The contact person handling this job ad is Laura Roos.

We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Click here to get started.

To all recruitment agencies:

Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.

Siemens Healthineers Germany was awarded the Great Place to Work® certificate.

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Siemens AG

Industrie und Maschinenbau

10.001 oder mehr Mitarbeitende

München, Deutschland

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Vorteile für Mitarbeitende

Flexible Arbeitszeiten
Home-Office
Kantine
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Training
Parkplatz
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Vorteile für Mitarbeitende
Firmenwagen
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Veranstaltungen
Privat das Internet nutzen
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