AI Imaging Engineer for Surgical Robotics

Philips International; Cambridge (MA); On-site; USD 129,000 - 205,000; Full time

Benefits offered by this job

PTO

401k

HSA

Stock purchase plan

Education reimbursement

Job summary

Philips is seeking an AI Engineer in Cambridge, MA to advance medical imaging and image-guided robotic technologies. You will develop computer vision and deep learning solutions, train models, and validate performance for clinical workflow integration.

The role emphasizes robust, traceable software in a regulated medical device environment, with collaboration across systems engineering, robotics, clinical, and regulatory teams. Office-based, full-time in Cambridge.

Qualifications

• Master's degree or PhD in a related field with 2+ years of experience in computer vision or AI for medical imaging.
• Experience applying deep learning to medical imaging is required.
• Hands-on model development, training, evaluation, and deployment.
• Familiarity with imaging modalities used in image-guided therapies is preferred.

Responsibilities

• Develop AI and computer vision algorithms for medical imaging and image-guided robotic applications.
• Design, train, evaluate, and optimize deep learning models (CNNs, transformers) for medical image understanding.
• Develop methods for detection, segmentation, registration, tracking, and quantitative image analysis.
• Collaborate with imaging modalities (X-ray, CT, CBCT) and cross-functional teams to deliver production-ready software.

Skills

Computer vision

Medical image analysis

Deep learning

Python

C++

CI/CD

Regulatory software

Education

Master's degree or PhD in CS/ Biomedical Eng/ EE/ Robotics/ AI

Tools

Python

C++

TensorFlow

PyTorch

Job description

Philips is seeking an AI Engineer in Cambridge, MA to advance medical imaging and image-guided robotic technologies. You will develop computer vision and deep learning solutions, train models, and validate performance for clinical workflow integration.

The role emphasizes robust, traceable software in a regulated medical device environment, with collaboration across systems engineering, robotics, clinical, and regulatory teams. Office-based, full-time in Cambridge.