5 days ago
Cambridge, MA, USAMid Level
Base Salary
$129k - $205k/yr
Responsibilities
- Develop and apply AI and computer vision algorithms for medical imaging and image-guided surgical robotics.
- Design, train, evaluate, and optimize deep learning models including convolutional neural networks and vision transformers.
- Develop methods for object detection, segmentation, registration, image interpretation, tracking, localization, and quantitative image analysis.
- Work with X-ray, fluoroscopy, DSA, CT, CTA, CBCT, and related 2D/3D imaging sources.
- Develop multimodal sensing and image-based localization methods for robotic perception, device awareness, and navigation.
- Build algorithms and software for a regulated medical-device environment with attention to robustness, traceability, verification, and clinical relevance.
- Contribute to uncertainty estimation, safety monitoring, failure detection, robustness testing, and performance characterization.
- Partner with system engineering, robotics, software, clinical, regulatory, and product teams to deliver production-oriented solutions.
- Contribute to technical documentation, validation evidence, and cross-functional design discussions.
Requirements
- Master's degree with at least 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, including 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; modality experience is highly preferred.
- Strong Python programming skills; C++ and production-quality software engineering experience are preferred.
- Experience or strong interest in uncertainty estimation, safety-bounded AI, runtime monitoring, robustness testing, or fail-safe behavior.
- Comfort working in a regulated medical-device environment.
- Publications or research experience in medical image computing or computer vision, including venues such as MICCAI, IEEE TMI, or CVPR, are a plus.
- Excellent written and verbal communication, organization, time management, self-motivation, and adaptability.
- Ability to meet the position's physical, cognitive, and environmental requirements with or without accommodation.
Benefits
- Office-based role requiring in-person work at least 3 days per week.
- Position is based in or within commuting distance of Cambridge, Massachusetts.
- Comprehensive benefits include PTO, a 401(k) with up to 7% match, HSA with company contribution, stock purchase plan, and education reimbursement.
- Relocation benefits will not be provided.
- US work authorization is required and the company will not consider candidates requiring current or future work-visa sponsorship.
Categories
ML EngineeringRobotics
About Philips
Philips builds medical imaging, patient monitoring, image-guided therapy, and connected-care software and devices for hospitals and clinicians, plus select personal health products. Revenue comes from hardware, software, and services, including SaaS via its HealthSuite cloud. Founded in 1891 and headquartered in Amsterdam, Philips is a public company listed in Amsterdam and on the NYSE (PHG), serving health systems worldwide.