Computer Vision Engineer developing sports technology for Hawk - Eye Innovations. Focused on improving tracking algorithms for tennis using computer vision techniques.
About the role
- Ingénieur en Traitement d'Image et Visualisation développant des solutions pour la planification chirurgicale. Conception de logiciels utilisant des images 3D préopératoires CT et algorithmes d'apprentissage automatique.
Responsibilities
- Design and develop a software prototype for surgical planning using preoperative 3D CT images
- Develop machine learning algorithms to analyze clinical data
- Create predictive models to assist physicians
- Contribute to the design and development of image processing and visualization libraries in C++
- Integrate and validate these C++ libraries with surgeons
- Develop deep learning algorithms for image classification, CT segmentation, and surgical decision support
- Improve visualization methods using point cloud and mesh processing algorithms.
Requirements
- Master’s degree or PhD in Computer Science or a related discipline
- More than 2 years of experience in C++ development using libraries for image processing, mesh processing, and 3D visualization
- Strong industry experience, including development, integration, testing, and deployment
- Experience with a continuous integration system and Git
- Knowledge of deep learning for classification and segmentation (ResNet18, UNet, etc.) and frameworks such as PyTorch or TensorFlow.
Benefits
- Work flexibility: Hybrid
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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