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Computer Vision Engineer
New York · Engineering · Full-time
About the Role
OON Systems processes large volumes of complex healthcare documents and data. As a Computer Vision Engineer, you will design and deploy systems for document understanding, optical character recognition, image classification, and structured data extraction from unstructured sources.
You will work across the full pipeline — from image preprocessing and model training to deployment and monitoring in production.
Responsibilities
- Design and build computer vision pipelines for document parsing, OCR, and classification
- Train and optimize models for healthcare document understanding and data extraction
- Develop preprocessing, augmentation, and evaluation strategies for real-world image and document data
- Deploy vision models into production with monitoring, versioning, and reliability engineering
- Collaborate with ML and software engineering teams to integrate vision systems into platform workflows
Qualifications
- Strong Python skills and experience with computer vision frameworks (OpenCV, PyTorch, TensorFlow)
- Experience with CNNs, object detection, segmentation, or OCR systems
- Understanding of image preprocessing, data augmentation, and model evaluation
- Experience deploying models in production environments
- Strong problem-solving skills and attention to detail
Preferred Qualifications
- Experience with document AI, layout parsing, or medical image analysis
- Experience with transformer-based vision models (ViT, DETR, LayoutLM)
- Familiarity with cloud-based ML deployment (AWS, GCP)
About You
- Detail-oriented
- Comfortable with messy real-world data
- Strong engineering fundamentals
- Able to iterate quickly from prototype to production