Computer Vision Deep Learning Researcher

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.