Machine Learning Engineer

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. Design, train and tune machine learning algorithms, support camera architects to drive innovative solutions for imaging and sensing challenges, and provide data-driven feedback for future camera architectures across a wide spectrum of Apple products. Work closely with cross functional teams to build computational imaging and machine learning prototypes for future Apple products that enable novel photography experiences. Build differentiable simulation and physics-informed machine learning pipelines to analyze and improve cameras and sensors. Ground the exploration via validated simulation and metrology results to avoid machine learning domain gaps and ensure production feasibility. 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. 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.

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