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.

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

• 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, * 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

$134,300 - $184,657

Factors which may affect starting pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

If this is a commission eligible position the commission eligibility will be in accordance with the terms of the Company's plan. Commissions are based on individual performance and/or company performance.

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan. life insurance, long-term and short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time.

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. Our portfolio is crucial for clinical decision-making and treatment pathways. 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.