Computer Vision Deep Learning Researcher

Apply 3D camera geometry and deep learning to image and video understanding k 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 Tensor Flow, 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.