Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.
This is a role well suited to an ambitious professional, looking for the next step in their career.
Tasks:
Design new neural network architectures and/or training strategies to push the state of the art
- Benchmark performance with baseline algorithms
- Interact with clinicians to integrate medical knowledge into training pipeline
- Delivering inference code with productization standards
- Contribute to the documentation of the team’s research (scientific publications, patents, technical documentations)
The position is based in Paris La Defense from the beginning of 2025.
Profile:
- Current graduate students in Computer Science Master’s program
- In depth knowledge of Machine Learning principles and practices
- Hands-on coding skills in Python, Deep Learning libraries (PyTorch, TensorFlow, etc.), C/C++, and other relevant coding skills
- Good knowledge in image processing and statistics is a plus
- A first experience (project or internship) in medical imaging is a plus
- Strong collaboration skills and ability to thrive in a fast-paced environment
- Strong written and verbal communication skills in English is required
Who we are:
We are a team of more than 71,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.
To facilitate the study of your application, we invite you to avoid contact via email or social networks and to give preference to our job and career site. However, if you encounter any problems during your application, please do not hesitate to contact us directly.
To find out more about us, take a look at our website
How we work:
When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Check our Careers Site at Jobs at Siemens Healthineers (siemens-healthineers.com)
As an equal opportunity employer, we welcome applications from individuals with disabilities.
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. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities.
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.
Les entités France Siemens Healthineers, Varian et Petnet sont certifiées Great Place to Work® et reconnues comme des entreprises où il fait bon travailler!
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