<p>Do you love taking on big challenges that require exceptionally creative solutions? The Camera u0026 Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera technology innovations and experiences that we are known worldwide.</p> <p>In this role, you will innovate foundational machine learning algorithms for computational photography and computer vision, to research, design and qualify novel cameras and sensors for future Apple products, in collaboration with a wide spectrum of top engineers across Apple.</p> <p>MS/PhD in computer vision, electrical, optical or computer engineering or related fields. Experience or strong personal curiosity with designing imaging and sensing systems. Strong independent problem-solving and communication skills. Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks. Experience with cutting edge computer vision and machine learning research trends and models. Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D rendering.</p> <p>BS in electrical, optical or computer engineering/science, and a minimum of 3 years relevant industry experience Experience with software coding in Python. Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications. Experience with Pytorch.</p>