Tasks:
- * Build visual datasets and data-cleaning and annotation strategies
- * Deploy and accelerate models on edge devices
- * Develop and optimize 2D vision algorithms
- * Implement object detection and image segmentation models
- * Maintain and optimize model training pipelines
- * Reproduce and improve state-of-the-art research papers
Perks/Benefits:
Skills/Tech stack required:
[C++] [CNN] [Computer Vision] [Deep learning] [Detectron2] [DETR] [Image Segmentation] [Linux] [Mask2Former] [MMdetection] [Model Compression] [Model Pruning] [Object Detection] [ONNX] [Python] [PyTorch] [Quantization] [SAM] [Swin Transformer] [TensorRT] [Ultralytics] [Vision Transformer] [YOLO]
Educational requirements:
[Bachelor's Degree]
Role(s):
[Computer Vision Engineer] [Computer Vision Engineer Intern] [Engineer Intern] [Intern]