Senior AI​/ML Scientist

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

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.

Translates clinical questions into high performance AI/ML solutions.

Manages and executes end-to-end development and validation of AI/ML solutions.

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.

Located in Princeton, New Jersey, Siemens Healthineers DTI is the central hub for R&D in Artificial Intelligence (AI) and Digital Technologies for Siemens Healthineers. Our research scientists and software engineers specialize in using large collections of data to build artificial intelligence solutions for healthcare, in close collaboration with government agencies, universities, and healthcare providers. Our research has been translated to a multitude of clinical products focused on improving quality of care, specifically in the fields of diagnostic imaging, image-guided therapy, and personalized medicine.

Join our team now at Siemens Healthineers, Princeton, NJ, USA as a Senior AI Scientist.

This is a role well suited to an ambitious professional, looking for the next step in their career.

• You will be working on large-scale, real-world problems, be entrepreneurial in an environment that is more startup than big company.
• You will work with customers to understand algorithm and workflow requirements and deliver solutions.
• You will conduct research, design, and implement disruptive algorithms for solving inverse problems in Medical Imaging using AI methods, such as Vision Language Foundation Models, Generative AI (Diffusion).
• You will be involved in fast prototyping, feasibility studies, specification, and implementation of medical imaging product components.
• You will advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.

• Strong theoretical background and expertise in Medical Physics, Imaging Science, Computational Imaging, Medical Imaging.
• Strong expertise in Artificial Intelligence, Machine Learning, Vision Language Foundation Models, Generative AI (Diffusion), Reinforcement Learning.
• Strong publication record in Artificial Intelligence, Machine Learning, Medical Imaging.
• You have experience with machine learning libraries (such as PyTorch, Tensor Flow), advanced deep neural network models and in addition you are familiar with image processing in Python and C++.
• Graduate research (and internship) experiences in Artificial Intelligence, Machine Learning, Medical Imaging preferred.

• You have a Ph.D. in an engineering or science field such as Electrical Engineering, Computer Science, Artificial Intelligence, Robotics, Machine Learning, Biomedical Engineering etc.
• You have 5+ years of experience (including Ph.D. study) and expertise in Artificial Intelligence, Machine Learning.
• You will be working with our latest technology and therefore you are willing to learn about new software solutions.
• Outstanding collaboration, interpersonal and communication (verbal & written) skills in English is a must.
• You are a team player who can also be independent, prioritize work and thrive in a fast-paced dynamic environment.
• You have very good presentation skills in the customer environment, and you show team orientation, communication skills and customer orientation.
• You have the drive and motivation for career development and open to taking on challenges.
• Willing to travel up to 10%.

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…