Staff Machine Learning Engineer (Computer Vision)

Role information

### Role Overview You will own the end-to-end lifecycle of computer vision models, from data curation and augmentation to deployment. You will collaborate closely with radiologists to refine labeling strategies and implement state-of-the-art segmentation architectures to improve diagnostic precision. ### Key Responsibilities - Develop and tune deep learning models using PyTorch or TensorFlow for medical image analysis. - Optimize model performance using quantization and pruning to ensure low-latency execution on edge devices. - Build robust evaluation frameworks to monitor model drift and ensure clinical validity across diverse patient datasets. ### Qualifications - 3+ years of professional experience in ML engineering with a strong portfolio in CV. - Proficiency in Python, CUDA, and Docker. - Experience with cloud ML platforms (AWS SageMaker or GCP Vertex AI) and version control for data (DVC).