Deep Learning Software Engineer

We are seeking a Deep Learning Software Developer to support projects at the National Institutes of Health (NIH). The role involves applying deep learning techniques to biomedical images and clinical data for clinical decision-making and prediction.

Requirements

• Ph.D. in a relevant field, or M.S. with 3+ years, or B.S. with 5+ years of relevant experience in image analysis and deep learning.
• Proven experience writing manuscripts or papers for journals and conferences.
• Extensive experience with medical image processing, data analysis, and classification techniques.
• Expertise in developing custom deep learning workflows, including visualizing activations.
• Strong understanding of machine learning techniques, including Support Vector Machines (SVM), Multilayer Perceptron (MLP), and Convolutional Neural Networks (CNNs).
• Proficiency in Decision Tree algorithms such as Random Forest, XGBoost, and LightGBM.
• Experience in statistical analysis of experimental results.
• Familiarity with Linux and Windows environments.
• Hands-on experience with high-performance GPU clusters and multi-GPU setups for deep learning tasks.
• Expertise in programming with Python, Keras, and PyTorch.
• Experience in developing Android, iOS, or web applications is a plus.

Benefits

• Medical, dental, and vision coverage
• 401k plan with employer contribution
• Paid holidays
• Vacation
• Tuition reimbursement