Senior Scientist, Computer Vision
Tasks
- Communicate technical results to stakeholders
- Deploy models in production environments
- Design computer vision AI solutions
- Develop and optimize machine learning models
- Develop product roadmaps for computer vision applications
- Develop scalable computer vision core technologies
- Extract insights from image and video data
- Lead collaborations and cross functional teams
- Process large scale datasets using high performance computing
Perks/Benefits
- Caregiver leave
- Hybrid work
- Insurance plans
- Parental leave
- Recognition awards
- Vacation days
- Volunteer leave
- Well-being reimbursement
Skills/Tech-stack
Adversarial Networks | Attention Mechanisms | Boosting | C++ | Computer Vision | Convolutional Neural Networks | Data Augmentation | Data Normalization | Data cleaning | Docker | EfficientNet | Faster R-CNN | Feature extraction | Generative AI | Generative Adversarial Networks | High Performance | High-Performance Computing | Image Segmentation | Image classification | Inception | Java | Kubernetes | Machine Learning | Mask R-CNN | Neural Networks | Object Detection | OpenCV | Orb | Performance Computing | PyTorch | Python | R | R-CNN | Random Forest | Recurrent Neural Networks | ResNet | SIFT | SSD | SURF) | Statistical Analysis | Support Vector Machine | TensorFlow | U-Net | VGG | Vision Transformers | YOLO
Education
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