Medical Imaging Data & AI Engineer

Philips; Tennessee; Presencial; USD 100 000 - 158 000; Tempo integral

Resumo da oferta

Philips seeks an Associate Data & AI Engineer for Medical Imaging to curate and annotate imaging datasets, enabling algorithm development across modalities. You will train and validate segmentation, classification, and reconstruction models using Python, TensorFlow, and PyTorch, while contributing to GUI-based annotation tools and deployment considerations.

Collaborate with clinical partners, QA, and product managers to share results, ensure code quality, and support regulatory documentation.

Qualificações

• Degree in engineering, CS, physics, or biomedical imaging.
• Experience with Python and deep learning frameworks.
• Experience building GUI-based data annotation tools.

Responsabilidades

• Source, curate, and annotate imaging datasets for model development.
• Train/validate models using simulated and clinical imaging data.
• Collaborate with clinical, engineering, and data science teams on imaging algorithms.

Conhecimentos

Python

Deep learning

Data curation

Formação académica

Bachelor's or Master's degree in engineering/CS/physics/math/biomedical imaging

Ferramentas

Python

TensorFlow

PyTorch

Tk

Napari

Descrição da oferta de emprego

Philips seeks an Associate Data & AI Engineer for Medical Imaging to curate and annotate imaging datasets, enabling algorithm development across modalities. You will train and validate segmentation, classification, and reconstruction models using Python, TensorFlow, and PyTorch, while contributing to GUI-based annotation tools and deployment considerations.

Collaborate with clinical partners, QA, and product managers to share results, ensure code quality, and support regulatory documentation.