Machine Learning Engineer

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Ausbildung

• Bachelors’ degree in a technical field such as computer science, mathematics or equivalent experience.

Qualifikationen

• Deep understanding of machine learning principles, solutions and frameworks to develop networks and models for computer vision tasks.
• Ability to understand, debug and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.
• Strong communications and interpersonal skills.
• A genuine passion for learning new things and helping colleagues improve.
• Msc/Phd in related field (Computer Vision, Machine Learning)

Erfahrung

• 3+ years of research or engineering experience with machine learning approaches, in one or more of the following areas: hand/body tracking, object detection, object pose tracking, scene understanding (segmentation, classification), neural scene representation.
• Experience with machine learning frameworks (PyTorch, TensorFlow etc.), as well as with cloud environments (GC, AWS etc).
• Experience with software development in Python or C++.
• Experience in integrating Machine Learning models into Augmented Reality solutions.
• Experience in geometric computer vision such as SLAM, VIO, Tracking, multi-view 3D reconstruction, Depth Estimation etc.
• Experience in neural network optimization (pruning, quantization, distillation) to deploy efficient models to resource-constrained devices.