HOPPR
HOPPR is a company that provides a generative AI platform designed to transform medical imaging. The company offers a comprehensive generative AI model infrastructure to accelerate AI development for medical imaging across various modalities. HOPPR simplifies AI development with its foundational infrastructure, ensuring secure data handling and seamless model fine-tuning. It prioritizes privacy and data security, providing diverse datasets across different modalities, anatomies, demographics, and geographies. HOPPR aims to expedite development by offering a scalable, high-performance GPU environment, enabling faster prototyping and scalable applications for research and medical imaging services.
Medical Technology and AI
Head of Machine Learning Engineering
6 hours ago
HOPPR
HOPPR is a company that provides a generative AI platform designed to transform medical imaging. The company offers a comprehensive generative AI model infrastructure to accelerate AI development for medical imaging across various modalities. HOPPR simplifies AI development with its foundational infrastructure, ensuring secure data handling and seamless model fine-tuning. It prioritizes privacy and data security, providing diverse datasets across different modalities, anatomies, demographics, and geographies. HOPPR aims to expedite development by offering a scalable, high-performance GPU environment, enabling faster prototyping and scalable applications for research and medical imaging services.
Medical Technology and AI
📋 Description
• HOPPR is seeking a Head of Machine Learning to manage our ML team in developing and deploying state-of-the-art multi-modal foundation models. • You will lead a team of ML engineers and scientists, collaborate with data scientists and physicians, and drive the research and development of models through the development life-cycle. • Your role will be critical in ensuring that HOPPR's models are not only high-performing but also robust, interpretable, and rigorously validated for clinical translation, meeting the highest standards of safety, compliance, and real-world reliability.
🎯 Requirements
• 7+ years of experience in ML engineering, with at least 3+ years in a leadership role. • PhD or MS in Computer Science, Machine Learning, Biomedical Engineering, or a related field. • Extensive experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and medical imaging libraries (e.g., MONAI, DICOM, ITK). • Strong knowledge of CNNs, transformers, self-supervised learning, and other advanced deep learning architectures. • Experience with MLOps, cloud-based ML pipelines, and model deployment in production environments (AWS/GCP/Azure).
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