Description
As a machine learning engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovative ideas to product. We are seeking a creative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline.
Minimum Qualifications
Strong coding skills in Python; experience in C/C++ a big plus Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution), and experience with deep learning frameworks like PyTorch or TensorFlow MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields
Preferred Qualifications
Excellent verbal and written communication skills Creativity and curiosity for solving complex problems
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