Join Apple's Camera Hardware Engineering team as a Machine Learning Engineer and help redefine the camera experience for millions of users. You will work closely with hardware, software, and image processing specialists to develop innovative camera technologies. This role requires a deep understanding of camera and image sensor technologies, as well as expertise in machine learning. Your contributions will be vital in the ongoing design and evaluation of Apple camera products.

• Bachelor's degree in Computer Science, Electrical Engineering, Physics, Optics, or a related field with 10 years of relevant experience.
• 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.
• MS or Ph.D. in Machine Learning, Electrical Engineering, Computer Science, Physics, Optics, or equivalent with 3+ years of experience in machine learning research or relevant industry experience.
• Experience 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.

• Conduct research, design, development, testing, and qualification of camera hardware for Apple products.
• Collaborate with cross-functional teams to develop cutting-edge camera technologies.
• Evaluate and benchmark Apple camera products.
• Characterize camera hardware performance and image quality.
• Apply advanced machine learning methods to enhance hardware design processes.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.