Computer Vision Deep Learning Researcher
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Apply 3D camera geometry and deep learning to image and video understanding at EAIGLE. Work across research, experimentation, and production deployment.
As a Computer Vision Researcher, you will take AI solutions from research through production. You will design, train, fine-tune, and evaluate models for detection, tracking, segmentation, and OCR. Your work supports EAIGLE products serving supply chain and logistics enterprises.
Key Responsibilities:
- Research and deploy state-of-the-art computer vision methods
- Build data collection, annotation, augmentation, and preprocessing pipelines
- Optimize models for accuracy, latency, memory, and cost
- Deploy models to cloud and edge environments
- Define metrics and monitor deployed model performance
Requirements:
- Master's or PhD in a related technical field
- Substantial computer vision and deep learning experience
- Depth in 3D camera geometry and motion
- Strong Python, PyTorch or TensorFlow, and OpenCV skills
- Experience taking models from experiment to production
Bring rigorous computer vision research, deep learning, and production deployment experience to EAIGLE's image understanding platform.
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