AI/ML Engineer - Neuroclinical AI

Siemens Healthineers AG; Princeton (NJ); On-site; USD 129,000 - 177,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement plan

Life insurance

Disability insurance

Paid parking/public transportation

Paid time off

Paid sick time

Job summary

Siemens Healthineers in Princeton, NJ seeks an AI/ML Engineer to develop real-time AI solutions for neurovascular interventions. You will work with clinicians and imaging scientists to translate interventional workflows into deployable AI models.

The role focuses on 2D/3D image fusion, validation, and deployment within a regulated medical device environment, contributing to innovation and IP generation.

Qualifications

• MS or PhD in CS, EE, BME, robotics, or related field.
• 2–5 years AI/ML development experience.
• Hands-on Python with PyTorch or TensorFlow.
• Experience in medical imaging or computer vision applications.

Responsibilities

• Develop AI algorithms for real-time detection and tracking of interventional devices in live fluoroscopy and angiography sequences.
• Develop 2D/3D fusion and registration methods for image modalities and planning primitives.
• Build foundation models and distill them for real-time latency on clinical hardware.
• Collaborate with clinical teams to translate workflows into data and model performance requirements.

Skills

Python

PyTorch

TensorFlow

Medical imaging

Real-time AI/ML

Communication

Education

MS or PhD in CS/EE/BME/Robotics

Tools

TensorRT

ONNX

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

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