Principle Applied Scientist - Computer VIsion at Radius

Candidates need an M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with specialization in Computer Vision or Machine Learning, plus 5+ years of hands-on experience building and deploying production-grade computer vision models. Strong theoretical background in deep learning frameworks like PyTorch and model architectures such as CNNs, Vision Transformers, and Diffusion Models is required, along with proficiency in Python and libraries like NumPy, OpenCV, and scikit-learn.

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A strong candidate will have preferred experience with real-time computer vision systems like AR/VR or robotics, published papers in top conferences such as CVPR or NeurIPS, exposure to MLOps, and familiarity with cloud platforms and containerization tools.