Intern – Image Processing – Medical Device - Bedford, MA – Summer 2026

Philips • Bedford, MA

9d • $29 - $46 • Onsite

About The Position

Join a talented engineering team developing next‑generation cardiovascular medical imaging algorithms and supporting state‑of‑the‑art device innovation. This internship offers hands‑on experience, mentorship from senior engineers, and exposure to impactful R&D work that supports clinicians and patients worldwide.

Requirements

• You’ve acquired 2+ years of experience in image processing, registration, segmentation, classification, analysis, or visualization—ideally in the medical domain (CT, ultrasound, MRI, PET, or optical imaging).
• Your skills include development or implementation of signal and image processing algorithms using C, C++, C#, Python, or MATLAB; experience with Python analytics and visualization libraries (Pandas, Scikit‑learn, Matplotlib); and familiarity with deep‑learning frameworks such as TensorFlow, Keras, or PyTorch.
• You are currently enrolled in a degree program in engineering, computer science, biomedical engineering, applied mathematics, or a related discipline.
• You’re an effective communicator with strong written and verbal skills, a collaborative mindset, and the ability to adapt quickly in a research‑focused environment.
• You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.
• 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 Bedford, MA.

Responsibilities

• Explore medical image datasets and identify computer‑detectable features in both image‑based and non‑image‑based data to support algorithm development.
• Support the creation and enhancement of image annotation tools needed to generate high‑quality training data.
• Describe and characterize clinical datasets to prepare dedicated datasets for algorithm testing and evaluation.
• Develop tools that quantitatively and qualitatively assess algorithm performance on test datasets.
• Design, train, and test image processing algorithms using both hand‑crafted features and learned representations.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed