Principle Applied Scientist - Computer VIsion

We are looking for an experienced Applied Scientist to lead the research, design, and development of advanced computer vision models for tasks like object detection, tracking, segmentation, OCR, scene understanding, and 3D vision.

Requirements

• M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with specialization in Computer Vision or Machine Learning.
• 5+ years of hands-on experience in building and deploying production-grade computer vision models.
• Strong theoretical background and applied experience in deep learning frameworks (e.g., PyTorch) and model architectures (e.g., CNNs, Vision Transformers, Diffusion Models).
• Experience in working with large-scale datasets, training pipelines, and performance evaluation metrics.
• Proficiency in Python and scientific computing libraries (e.g., NumPy, OpenCV, scikit-learn).