Staff Computer Vision AI/ML Engineer
Tasks
- Analyze and preprocess remote sensing datasets
- Lead team to implement AI ML algorithms for computer vision
- Research multimodal data fusion for ATR
- Research supervised and unsupervised ATR solutions
- Review publications and apply concepts to defense and commercial use
- Train optimize and deploy deep learning computer vision models
- Write technical documentation for code program capabilities and user guides
Perks/Benefits
- Continuing education
- Family support
- Flexible time off
- Healthcare
- Learning resources
- Retirement benefits
- Time off benefits
- Wellness
Skills/Tech-stack
AWS EC2 | AWS Lambda | AWS S3 | BYOL | Computer Vision | Containerization | Convolutional Networks | Convolutional Neural Networks | Data Fusion | Deep learning | Electro-Optical | Graph convolutional networks | Image Segmentation | Image denoising | Image restoration | Image super resolution | Keras | Knowledge Distillation | Linux | Model Deployment | Multimodal Learning | Neural Networks | Object Detection | OpenCV | Pattern of Life | Pattern-of-life algorithms | PyTorch | PyTorch Lightning | Python | Scikit-image | Scikit-learn | Self-Supervised Learning | Self-supervised | Super-resolution | Supervised Learning | Swin Transformer | Synthetic Aperture | Synthetic aperture radar | TensorFlow | Tracking | Transformer Models | Version control | Vision Transformer
Education
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