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