AI Engineer – Medical Imaging & Surgical Robotics (Cambridge, MA)
Philips
Summary
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.
Job description
Your role
- Develop and apply AI and computer vision algorithms for medical imaging and image-guided surgical robotics applications.
- 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.
- Partner closely with system engineering, robotics, software, clinical, regulatory, and product teams to translate algorithmic concepts into practical, production-oriented solutions.
You're the right fit if
- 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.
- Strong programming skills in Python.
- 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 able to contribute to technical documentation, validation evidence, and cross-functional design discussions.
- Excellent written and verbal communication skills, self-motivated with good organizational and time management skills.
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
- 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 (X-ray, CT, CTA, CBCT, 3D rotational angiography, or DSA)
- Strong programming skills in Python
- Experience or strong interest in uncertainty estimation, safety-bounded AI, runtime monitoring, robustness testing, or fail-safe behavior
- Comfortable working in a regulated medical device environment
- Excellent written and verbal communication skills
- Self-motivated with good organizational and time management skills
- US work authorization required; no visa sponsorship
- Must reside in or within commuting distance to Cambridge, MA
Benefits
- PTO
- 401(k) up to 7% match
- HSA with company contribution
- Stock purchase plan
- Education reimbursement
- Annual incentive bonus
- Long-term incentives
Company overview
Koninklijke Philips N.V., commonly known as Philips, is a Dutch multinational health technology company that has evolved from its origins as a consumer electronics conglomerate into a leading global healthcare solutions provider. Founded in 1891 in Eindhoven, Netherlands, Philips has transformed its business focus since the 2010s to concentrate exclusively on health technology. The company operates through three main divisions: Diagnosis and Treatment, which manufactures advanced medical imaging equipment including MRI, CT, and ultrasound scanners; Connected Care, specializing in patient monitoring systems and respiratory care products under the Respironics brand; and Personal Health, producing consumer healthcare products like electric shavers, Sonicare toothbrushes, and Avent childcare items. With 68,419 employees worldwide and annual revenues of €18.02 billion (2024), Philips maintains its global headquarters in Amsterdam while operating manufacturing, R&D, and sales facilities across 26 countries. The company has strategically divested its consumer electronics, lighting, and home appliance businesses to become a pure-play health technology organization, positioning itself at the forefront of medical innovation and digital healthcare solutions.