Senior AI/ML Scientist

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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.

Join Siemens Healthineers' Digital Technology & Innovation (DTI) team in Princeton, NJ, a central hub for advancing Artificial Intelligence and Digital Technologies in healthcare.

As a Senior AI Scientist, you will work on real-world medical imaging challenges, developing and applying advanced AI/ML methods to improve diagnostic imaging, image-guided therapy, and personalized medicine.

This role bridges research and product development, with a focus on translating novel algorithms into impactful clinical solutions.

You are responsible for:


* Conducting research and developing AI/ML algorithms to solve complex problems in medical imaging


* Applying modern machine learning techniques, including deep learning and generative models, to imaging and inverse problems


* Collaborating with cross-functional teams (engineering, product, clinical partners) to define requirements and deliver solutions


* Prototyping and validating new approaches through feasibility studies and rapid experimentation


* Contributing to publications, patents, and internal innovation initiatives


* Translating research into practice by supporting integration of algorithms into product workflows

Minimum Qualifications:


* Ph.D.

in Computer Science, Electrical Engineering, Biomedical Engineering, Physics, or related field


* Strong foundation in machine learning / artificial intelligence


* Experience applying ML to real-world problems (e.g., imaging, signal processing, computer vision, or similar domains)


* Proficiency in Python and ML frameworks such as PyTorch or TensorFlow


* Strong problem-solving skills and ability to work through complex technical challenges


* Ability to clearly communicate technical concepts and research outcomes

Preferred Qualifications:


* Experience in medical imaging, computational imaging, or image processing


* Familiarity with generative AI techniques (e.g., diffusion models, foundation models, or related approaches)


* Experience with inverse problems, reconstruction, or physics-based modeling


* Track record of publications or patents in relevant fields


* Experience working in collaborative research or product development environments


* Exposure to C++ or performance-oriented implementations

Who we are: We are a team of more than 72,000 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.

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