Job description

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 an AI/ML Engineer within our Neuroclinical AI team, you will develop AI algorithms and models that power image-guided neurovascular interventions, from procedure planning through real-time navigation in the angiography suite. Our primary clinical focus is acute ischemic stroke and intracranial aneurysm treatment, with other neurointerventional procedures also in scope. You will work closely with clinical collaborators, imaging scientists, and product development teams to translate interventional workflow needs into robust, real-time AI solutions, spanning model development, validation, and deployment in a regulated medical device environment. You are responsible for: • Developing AI algorithms for real-time detection and tracking of interventional devices (e.g., guidewires, microcatheters, stent retrievers, coils, and flow diverters) in live fluoroscopy and angiography sequences • Developing 2D/3D fusion and registration methods that bring pre-procedural and intra-procedural 3D imaging (e.g., CTA, MRA, 3D rotational angiography) and planning primitives such as vessel centerlines, aneurysm geometry, and target landmarks into the live 2D angiographic view • Building foundation models for interventional and neurovascular imaging, and distilling them into compact, efficient models that meet real-time latency requirements on clinical hardware • Building interventional digital twins and simulators of neurovascular anatomy, device behavior, and X-ray image formation for use in synthetic data generation and in training and evaluating device navigation agents • Translating clinical requirements for neurointerventional workflows into appropriate data, annotation, and model performance requirements • Performing validation and statistical evaluation of AI algorithms, including accuracy, robustness, and latency under realistic procedural conditions • Coordinating activities across data collection, data annotation, model development, and validation throughout the project lifecycle, often across multiple concurrent projects • Contributing to IP generation and peer-reviewed research in collaboration with clinical and technical stakeholders • Proposing and driving new AI/ML-based initiatives in image-guided neurointervention • Staying abreast of developments in the field and maintaining knowledge of state-of-the-art technologies and high-performance computing architectures Minimum Qualifications: • MS or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Robotics, or related field • 2–5 years of experience in AI/ML development (industry or academic) • Hands-on experience with Python, PyTorch or TensorFlow • Experience developing and validating machine learning models for medical imaging or computer vision applications • Strong problem-solving and analytical thinking skills • Ability to clearly communicate technical concepts to both technical and clinical audiences Preferred Qualifications: • Experience with X-ray fluoroscopy, angiography, or cone-beam CT imaging, ideally in neurovascular or other interventional applications • Experience with real-time object detection, segmentation, or tracking, particularly of thin or low-contrast structures in image sequences • Experience with 2D/3D registration, multimodal image fusion, or 3D vascular modeling (e.g., vessel segmentation, centerline extraction) • Experience with large-scale self-supervised pretraining or foundation models, and with efficient deployment techniques such as knowledge distillation, quantization, and optimized inference (e.g., TensorRT, ONNX) • Experience with simulation, digital twins, or synthetic data generation (e.g., digitally reconstructed radiographs, physics-based device or blood-flow simulation) • Experience with reinforcement learning, imitation learning, or robotic navigation, especially for autonomous or assisted catheter and guidewire navigation • Familiarity with stroke and aneurysm procedures such as mechanical thrombectomy, endovascular coiling, and flow diversion • Publications in venues such as MICCAI, IPCAI, IEEE TMI, Medical Image Analysis, CVPR, or NeurIPS 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. To find out more about Siemens Healthineers businesses, please visit our company page here . The base pay range for this position is: $128,700 - $176,957 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. Equal Employment Opportunity Statement: Siemens Healthineers is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law: Applicants and employees are protected under Federal law from discrimination. To learn more, click here . Reasonable Accommodations: Siemens Healthineers is committed to equal employment opportunity. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form here . If you’re unable to complete the form, you can reach out to our HR People Connect People Contact Center for support at peopleconnectvendorsnam.func@siemens-healthineers.com. Please note HR People Connect People Contact Center will not have visibility of your application or interview status. California Privacy Notice: California residents have the right to receive additional notices about their personal information. To learn more, click here . Export Control: “A successful candidate must be able to work with controlled technology in accordance with US export control law.” “It is Siemens Healthineers’ policy to comply fully and completely with all United States export control laws and regulations, including those implemented by the Department of Commerce through the Export Administration Regulations (EAR), by the Department of State through the International Traffic in Arms Regulations (ITAR), and by the Treasury Department through the Office of Foreign Assets Control (OFAC) sanctions regulations.” Data Privacy: 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. Register here to get started. Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees. These scammers may attempt to collect your confidential personal or financial information. If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site. To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.

Requirements

Must-haves

Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
Join Siemens Healthineers’ Digital Technology & Innovation (DTI) team in Princeton, NJ, a central hub for advancing Artificial Intelligence and Digital Technologies in healthcare.
Developing AI algorithms for real-time detection and tracking of interventional devices (e.g., guidewires, microcatheters, stent retrievers, coils, and flow diverters) in live fluoroscopy and angiography sequences
Building foundation models for interventional and neurovascular imaging, and distilling them into compact, efficient models that meet real-time latency requirements on clinical hardware
Building interventional digital twins and simulators of neurovascular anatomy, device behavior, and X-ray image formation for use in synthetic data generation and in training and evaluating device navigation agents
Translating clinical requirements for neurointerventional workflows into appropriate data, annotation, and model performance requirements
Performing validation and statistical evaluation of AI algorithms, including accuracy, robustness, and latency under realistic procedural conditions
Coordinating activities across data collection, data annotation, model development, and validation throughout the project lifecycle, often across multiple concurrent projects
Contributing to IP generation and peer-reviewed research in collaboration with clinical and technical stakeholders
Proposing and driving new AI/ML-based initiatives in image-guided neurointervention
Staying abreast of developments in the field and maintaining knowledge of state-of-the-art technologies and high-performance computing architectures
MS or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Robotics, or related field

Nice-to-haves

Experience with X-ray fluoroscopy, angiography, or cone-beam CT imaging, ideally in neurovascular or other interventional applications
Experience with real-time object detection, segmentation, or tracking, particularly of thin or low-contrast structures in image sequences
Experience with 2D/3D registration, multimodal image fusion, or 3D vascular modeling (e.g., vessel segmentation, centerline extraction)
Experience with large-scale self-supervised pretraining or foundation models, and with efficient deployment techniques such as knowledge distillation, quantization, and optimized inference (e.g., TensorRT, ONNX)
Experience with simulation, digital twins, or synthetic data generation (e.g., digitally reconstructed radiographs, physics-based device or blood-flow simulation)
Experience with reinforcement learning, imitation learning, or robotic navigation, especially for autonomous or assisted catheter and guidewire navigation
Familiarity with stroke and aneurysm procedures such as mechanical thrombectomy, endovascular coiling, and flow diversion
Publications in venues such as MICCAI, IPCAI, IEEE TMI, Medical Image Analysis, CVPR, or NeurIPS
To find out more about Siemens Healthineers businesses, please visit our company page here .
$128,700 - $176,957
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.

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aimlpythonmachine learning

Platform: phenom
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Dental

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401(K)

Paid Time Off