AI Engineer – Medical Imaging & Surgical Robotics

Join Philips to help shape the next generation of intelligent surgical robotics. In this role, you will work with robotics, software, and clinical experts to develop first-of-a-kind computer vision medical AI solutions that advance autonomy, decision-making, and workflow intelligence for image-guided procedures.

About the role

Develop and apply AI and computer vision algorithms for medical imaging and image-guided surgical robotics applications. Partner closely with system engineering, robotics, software, clinical, regulatory, and product teams to translate algorithmic concepts into practical, production-oriented solutions.

Responsibilities

• Design, train, evaluate, and optimize deep learning models, including convolutional neural networks, vision transformers, and other modern vision architectures for medical image understanding.
• Develop methods for object detection, segmentation, registration, image interpretation, tracking, and quantitative image analysis across medical imaging data.
• Work with imaging modalities relevant to image-guided therapies, such as X-ray, fluoroscopy, DSA, CT, CTA, CBCT, and related 2D/3D imaging sources.
• Contribute to multimodal sensing and image-based localization methods that support robotic perception, device awareness, and navigation workflows.
• Develop algorithms and software in a medical device environment, with attention to robustness, traceability, verification, and clinical relevance.
• Contribute to uncertainty estimation, safety monitoring, failure detection, and performance characterization for AI-enabled imaging and robotic systems.

Requirements

• Master’s degree with 2+ years of experience OR a PhD in Computer Science, Biomedical Engineering, Electrical Engineering, Robotics, Artificial Intelligence, or a related field.
• Strong experience in computer vision, medical image analysis, or machine learning applied to imaging data.
• Hands-on experience developing deep learning models using modern AI/ML frameworks, with practical knowledge of model training, evaluation, validation, and deployment.
• Experience with medical image processing techniques such as segmentation, registration, detection, tracking, feature extraction, or 2D/3D image analysis.
• Familiarity with medical imaging modalities used in image-guided therapies, especially X-ray, CT, CTA, CBCT, 3D rotational angiography, or DSA. Prior experience with these modalities is highly preferred.
• Strong programming skills in Python. Experience with C++, software engineering best practices, CI/CD, and production-quality code is preferred.
• Experience, or strong interest, in uncertainty estimation, safety-bounded AI, runtime monitoring, robustness testing, or fail-safe behavior for AI-enabled systems.
• Comfortable working in a regulated medical device environment and can contribute to technical documentation, validation evidence, and cross-functional design discussions.
• Publications or research experience in medical image computing, computer vision, or related venues such as MICCAI, IEEE TMI, CVPR, or similar are a plus.
• Excellent written and verbal communication skills; self-motivated with good organizational and time management skills.

Schedule

This is an office role requiring full-time presence in the company’s facilities at least 3 days per week.

Pay

The pay range for this position in Cambridge, MA is $129,000 to $205,000. The actual base pay offered may vary within the posted ranges depending on job-related knowledge/skills, experience, business needs, geographical location, and internal equity. In addition, other compensation such as an annual incentive bonus, sales commission, or long-term incentives may be offered.

Benefits

• Comprehensive Philips Total Rewards benefits program, including generous PTO.
• 401k (up to 7% match).
• HSA (with company contribution).
• Stock purchase plan.
• Education reimbursement.

US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future. For this position, you must reside in or within commuting distance to Cambridge, MA.