Algorithm Engineer

【2026-Algorithm Engineer】

Minimum Requirements:

1. Proficiency in computer vision (object detection, segmentation) and deep learning (Transformers, GNNs).
2. Experience with PyTorch/TensorFlow and C++ development.
3. Familiarity with edge deployment (Jetson/ARM) and model compression (quantization, distillation).

Expected Responsibilities:

1. Development of AI Models for X-ray Images
- Research and develop FOD algorithms specifically for X-ray images (variants of YOLOv8, Mask R-CNN), optimize the detection of small targets (Ex. 0.2mm metal shavings).
- Design a fusion algorithm for multi-energy (dual-energy) X-ray data to improve the detection rate of low-density foreign objects such as plastics and rubber.
2. AI System Optimization
- Develop lightweight models (TensorRT/OpenVINO deployment) to meet real-time detection needs on the production line.
-Build dynamic data augmentation strategy to adapt to changes in food morphology.
3. Multimodal Data Fusion
- Combine X-ray images with visible light, near-infrared, and other multisensor data, build cross-modal foreign object classification model.- Develop anomaly detection algorithms, address the issue of insufficient rare foreign object samples in X-ray images.