
Computer Vision/Ai Engineer
Triune InfomaticsOakland, CA
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Overview
Remote
On-site
Job Description
Role: Computer Vision/AI EngineerLocation: RemoteDuration: 6+ monthsSummary: Take an existing guardrail-defect-detection POC to production quality. First priority is cutting the model's false-positive rate (currently 83% on reviewed detections); then extend defect classification and condition ranking.Must Have: Computer Vision & Object Detection, Python (PyTorch/TensorFlow & OpenCV), YOLO/Detectron2 (Custom Model Fine-Tuning), Video Processing & Image Analysis, Model Evaluation & False-Positive Reduction, Production Codebase Development & MaintenanceRequired:
- 4+ years hands-on computer vision / object detection in production (not research-only)
- Strong Python, PyTorch or TensorFlow, OpenCV
- Object detection frameworks (YOLO, Detectron2, or similar) incl. fine-tuning on custom data
- Video processing experience (frame extraction, motion blur, variable lighting/weather)
- Model evaluation / error analysis — precision-recall tuning, false-positive reduction
- Comfortable working inside an existing codebase, not greenfield
- AWS ML tooling (SageMaker, S3, Lambda)
- Infrastructure/civil-inspection CV experience
- GPS/GIS data handling or RTK GNSS/LiDAR exposure
- Public sector client experience
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