Staff Engineer - Computer Vision and Machine Learning

As a Staff Engineer specializing in Computer Vision and Machine Learning, your role will involve developing advanced solutions in medical imaging. You will be responsible for tasks such as image segmentation, object detection, and 3D reconstruction using your expertise in the following areas: - Programming Languages: Proficiency in C++, Python, and C#. - Computer Vision Expertise: Experience with OpenCV for tasks like image segmentation, object detection, pattern recognition, and 3D reconstruction. - ML/DL Frameworks: Proficiency in TensorFlow, PyTorch, and hands-on experience with models such as YOLO, U-Net, ResNet, and VGG. - Image Processing: Strong understanding of color-space transformations, histogram/contrast enhancement, morphology, and frequency domain filtering. - Medical Imaging Knowledge: Familiarity with modalities like CT, MRI, and Ultrasound. - Algorithms & Data Structures: Solid problem-solving, optimization, and analytical skills. In addition, the following skills are preferred for this role: - Advanced C++ skills including STL, multithreading, and design patterns. - Familiarity with Python libraries such as Numpy, Pandas, and Scikit-learn. - Knowledge of tools like VTK, ITK, or MITK. - Understanding of healthcare regulations, such as FDA and CE. By taking on this role, you will have the opportunity to build cutting-edge Computer Vision and Machine Learning solutions for healthcare, ultimately making a meaningful impact on lives. As a Staff Engineer specializing in Computer Vision and Machine Learning, your role will involve developing advanced solutions in medical imaging. You will be responsible for tasks such as image segmentation, object detection, and 3D reconstruction using your expertise in the following areas: - Programming Languages: Proficiency in C++, Python, and C#. - Computer Vision Expertise: Experience with OpenCV for tasks like image segmentation, object detection, pattern recognition, and 3D reconstruction. - ML/DL Frameworks: Proficiency in TensorFlow, PyTorch, and hands-on experience with models such as YOLO, U-Net, ResNet, and VGG. - Image Processing: Strong understanding of color-space transformations, histogram/contrast enhancement, morphology, and frequency domain filtering. - Medical Imaging Knowledge: Familiarity with modalities like CT, MRI, and Ultrasound. - Algorithms & Data Structures: Solid problem-solving, optimization, and analytical skills. In addition, the following skills are preferred for this role: - Advanced C++ skills including STL, multithreading, and design patterns. - Familiarity with Python libraries such as Numpy, Pandas, and Scikit-learn. - Knowledge of tools like VTK, ITK, or MITK. - Understanding of healthcare regulations, such as FDA and CE. By taking on this role, you will have the opportunity to build cutting-edge Computer Vision and Machine Learning solutions for healthcare, ultimately making a meaningful impact on lives.