Senior Software Engineer-Computer vision
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From Stryker’s original posting
Work Flexibility: Hybrid We are seeking a Computer Vision/AI Engineer to research, architect, and deploy state-of-the-art vision models for high-throughput, low-latency computer vision pipelines. In this role, you will work on problems spanning real-time object detection, multi-class classification, tracking, and instance segmentation. You will bridge cutting-edge applied research with edge/cloud production engineering—experimenting with advanced CNN backbones, Vision Transformers (ViTs), and multimodal architectures while optimizing inference speed for real-world constraint. Technical Responsibilities • Evaluate, benchmark, and adapt frontier vision architectures (e.g., YOLO variants, R-CNN, ViTs, Transformers, MobileNet backbones). • Design, train, and fine-tune computer vision models using PyTorch, TorchVision etc. • Architect data preprocessing, augmentation and annotation workflows for imbalanced and noisy visual datasets. • Optimize deep learning models for strict latency/throughput budgets using TensorRT, ONNX Runtime, DeepStream etc. • Apply model compression techniques including post-training quantization (INT8/FP16) and knowledge distillation. • Implement active learning…
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