Staff Computer Vision AI/ML Engineer
Tasks
- Analyze and pre process remote sensing datasets
- Lead team to implement AI ML algorithms for computer vision
- Research multimodal data fusion for electro optical and synthetic aperture radar
- Research supervised and unsupervised automatic target recognition solutions
- Review publications and apply concepts to defense and commercial applications
- Train optimize and deploy deep learning computer vision models
- Write technical documentation for code capabilities and user guides
Perks/Benefits
- Continuing education support
- Family support
- Flexible time off
- Health insurance
- Learning and development resources
- Retirement plan
- Wellness benefits
Skills/Tech-stack
AWS EC2 | AWS Lambda | AWS S3 | BYOL | Computer Vision | Containerization | Convolutional Networks | Convolutional Neural Networks | DINO | Data Fusion | Data Versioning | Deep learning | Deployment | GCN | Graph convolutional networks | Image Processing | Image Segmentation | Image denoising | Image restoration | Keras | Knowledge Distillation | Linux | Model versioning | Multimodal Data | Multimodal data fusion | Neural Networks | Object Detection | OpenCV | Pattern of Life | Pattern-of-life algorithms | Proposal Writing | PyTorch | PyTorch Lightning | Python | Scikit-image | Scikit-learn | Self-Supervised Learning | Self-supervised | Super-resolution | Supervised Learning | Swin Transformer | Technical writing | TensorFlow | Tracking | Transformer | Version control | Virtualization | Vision Transformer | YOLO | YOLOX
Education
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