Camera Machine Learning Engineer

As a Machine Learning Engineer in the Camera Hardware Engineering group you will be responsible for all research, design, development, test, and qualification of camera hardware for Apple products. This team is seeking an experienced Machine Learning Engineer with a background in Camera and image sensor technologies. You will bring your expertise to the team and be responsible for ongoing design, evaluation, benchmarking and characterization of Apple camera products. Minimum Qualifications Bachelor’s degree in Computer Science, Electrical Engineering, Physics, Optics, or a related field
 Experience with Python programming and deep learning frameworks like PyTorch
 Experience with machine learning and computer vision principles, and algorithms. Experience with camera and/or image sensor technologies. Preferred Qualifications MS or Ph.D. in Machine Learning, EE, CS, Physics, Optics, or equivalent and 3+ years of experience in machine learning research or relevant industry experience
 Experience with applying deep learning to various computer vision tasks, such as: Object recognition, Image segmentation, Inpainting, and Anomaly detection
 Experience in applying generative AI and reinforcement learning techniques to enhance hardware design processes. 
 Experience with using advanced ML methods to optimize system architectures and improve image quality in the hardware design domain. Experience with image quality metrics and evaluation methodology
 Experience with camera components, functions, and the camera ISP pipeline Experience with megapixel CMOS image sensor technology, lens selection, and qualification