Senior ML Engineer - Medical Imaging & Clinical Translation

St. Jude Children's Research Hospital; Memphis (TN); On-site; USD 104,000 - 186,000; Full time

Job summary

St. Jude Children’s Research Hospital is seeking a highly motivated Machine Learning Engineer to advance ML/DL models for medical imaging across CT, MRI, and X-ray.

You will build robust algorithms for segmentation, quantification, and detection, and work with radiologists to translate models into clinical practice. The role emphasizes regulatory readiness, including supporting FDA 510(k) and De Novo submissions, with an environment rich in data, infrastructure, and collaboration for high-impact

Qualifications

• Bachelor's degree with 5+ years of experience required.
• Master's degree with 3+ years of experience acceptable.
• Experience with programming languages, databases, and software development lifecycle; domain stack preferred.

Responsibilities

• Develop, train, and validate ML/DL models for segmentation, quantification, and detection in CT/MRI/X-ray.
• Design 2D/3D model architectures (CNNs, transformers, foundational models).
• Build scalable pipelines for data preprocessing, training, evaluation, and deployment.
• Collaborate with radiologists and engineering teams to define clinically meaningful outputs.
• Produce regulatory-grade documentation for datasets, model development, validation, and performance.
• Ensure reproducibility and traceability of experiments across data, model, and code.

Skills

Python

PyTorch

TensorFlow

Git

Deep Learning

Medical Imaging

Education

Bachelor's degree in computer science, data science, information science, business, or related field

Master's degree preferred

Tools

DICOM

Job description

St. Jude Children’s Research Hospital is seeking a highly motivated Machine Learning Engineer to advance ML/DL models for medical imaging across CT, MRI, and X-ray.

You will build robust algorithms for segmentation, quantification, and detection, and work with radiologists to translate models into clinical practice. The role emphasizes regulatory readiness, including supporting FDA 510(k) and De Novo submissions, with an environment rich in data, infrastructure, and collaboration for high-impact