Deep Learning Engineer — Retinal Imaging

Ripple Effect; Bethesda (MD); On-site; USD 90,000 - 104,000; Full time

Job summary

Ripple Effect, a Bethesda-area company, seeks a Deep Learning Developer to apply advanced DL to biomedical images and clinical data for retinal disease detection and progression prediction, supporting NIH's Lister Hill Center. Responsibilities include building DL models with retinal images, genomic data, and medical records; developing deployment tools for Android/iOS/Web platforms.

Requires a Master’s degree and 5+ years in image analysis; experience with PyTorch/Keras; commutable to NIH;

Qualifications

• Master's degree in a relevant field.
• 5+ years of image analysis, machine learning and deep learning experience.
• Experience with medical image processing, data analysis and classification techniques.
• Proficiency in developing custom deep learning workflows and visualizing activations.
• Strong knowledge of ML techniques including SVM, MLP and CNNs.
• Experience deploying on Android/iOS or web platforms.

Responsibilities

• Develop deep learning models to support clinical decision-making for retinal diseases using retinal images, genomic data and clinical records.
• Create algorithms for disease detection, severity classification and longitudinal progression prediction.
• Build and optimize deep learning tools for deployment on Android/iOS/Web platforms.
• Perform related duties as assigned.

Skills

Deep learning

Medical image analysis

ML techniques (SVM, MLP, CNNs)

Education

Master's degree

Tools

Python

Keras

PyTorch

Job description

Ripple Effect, a Bethesda-area company, seeks a Deep Learning Developer to apply advanced DL to biomedical images and clinical data for retinal disease detection and progression prediction, supporting NIH's Lister Hill Center. Responsibilities include building DL models with retinal images, genomic data, and medical records; developing deployment tools for Android/iOS/Web platforms.

Requires a Master’s degree and 5+ years in image analysis; experience with PyTorch/Keras; commutable to NIH;