Associate Data & AI Engineer - Medical Imaging (Bedford, MA)

Philips • Bedford, MA

3d • Hybrid

About The Position

Philips is seeking a Data & AI Engineer to curate, annotate, and use medical imaging datasets to support algorithm and model development for imaging capabilities across clinical modalities, bringing imaging solutions from concept to deployment. The role focuses on X-ray coronary angiography and includes using simulated, clinical, and phantom data to train and validate segmentation, classification, and reconstruction models. The engineer will collaborate with clinical, engineering, data science, product management, and quality-assurance teams; design, implement, and test image-processing algorithms; support deployment and integration; troubleshoot performance issues; and document code, designs, and validation methods. The role also contributes to regulatory documentation and quality-assurance workflows, while encouraging continuous improvement, knowledge sharing, and learning GPU/CUDA optimization techniques.

This is an office-based role in Bedford, Massachusetts. Philips states that office-based teams work in person at least three days per week. Candidates must reside in or within commuting distance of Bedford, MA, and must have US work authorization; visa sponsorship is not available. Relocation benefits are not provided.

Requirements

• Bachelor’s or master’s degree in engineering, computer science, physics, mathematics, or biomedical imaging.
• Experience developing algorithms using Python.
• High familiarity with deep-learning frameworks such as PyTorch and TensorFlow.
• Experience building GUI-based data annotation and review tools using Tk or Napari.
• Strong knowledge of signal- or image-processing concepts and numerical methods.
• Experience quantitatively validating algorithm performance using imaging datasets.
• Problem-solving, critical-thinking, and debugging abilities.
• Clear written and verbal communication skills.
• Attention to detail, particularly when documenting code and technical decisions.
• Must be able to successfully perform the position’s minimum physical, cognitive, and environmental requirements, with or without accommodation.
• US work authorization is required; candidates who need work-authorized visa sponsorship now or in the future will not be considered.
• Must reside in or within commuting distance of Bedford, Massachusetts.

Nice To Haves

• Exposure to X-ray-based coronary angiography.

Responsibilities

• Source, curate, and annotate X-ray coronary angiography datasets to support model development.
• Use simulated, clinical, and phantom data to train and validate segmentation, classification, and reconstruction models.
• Collaborate with clinical, engineering, and data science teams to define imaging-related algorithmic solutions.
• Work with product managers, clinical partners, and QA to present updates and technical findings.
• Design, implement, and test image-processing algorithms in Python, TensorFlow, and PyTorch.
• Support algorithm deployment and integration, with a focus on software quality.
• Troubleshoot and debug performance issues.
• Document code, algorithm designs, and validation methods to support transparency and reproducibility.
• Contribute to regulatory documentation and quality-assurance workflows related to algorithm development.
• Explore opportunities to learn GPU/CUDA optimization techniques.
• Demonstrate continuous improvement and share knowledge across teams.

Benefits

• Generous paid time off.
• 401(k) with up to a 7% company match.
• Health Savings Account with company contribution.
• Stock purchase plan.
• Education reimbursement.
• Other benefits through the Philips Total Rewards benefits program.
• An annual incentive bonus, sales commission, or long-term incentives may be offered.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level