Do you love taking on big challenges that require exceptionally creative solutions? \\nThe Camera & 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.
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.
BS in electrical, optical or computer engineering/science, and a minimum of 3 years relevant industry experience \nExperience with software coding in Python. \nExperience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.\nExperience with Pytorch.
MS/PhD in computer vision, electrical, optical or computer engineering or related fields.\nExperience or strong personal curiosity with designing imaging and sensing systems. \nStrong independent problem-solving and communication skills.\nSolid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks. \nExperience with cutting edge computer vision and machine learning research trends and models. \nExperience 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 8927505362b08b53864bd3fe9e10d21f
- Posted 12 hours ago
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