Join Apple's Camera Hardware Engineering team as a Machine Learning Engineer and help redefine the camera experience for millions of users. You will collaborate with hardware, software, and image processing specialists to develop innovative camera technologies. This role focuses on the research, design, development, testing, and qualification of camera hardware for Apple products. The ideal candidate will have a strong background in camera and image sensor technologies.

• Bachelor's degree in Computer Science, Electrical Engineering, Physics, Optics, or a related field.
• MS or Ph.D. in Machine Learning, Electrical Engineering, Computer Science, Physics, Optics, or equivalent.
• 3+ years of experience in machine learning research or relevant industry 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.
• Experience in 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 and development for camera hardware technologies.
• Design and evaluate camera products for Apple devices.
• Benchmark and characterize camera hardware performance.
• Collaborate with cross-functional teams to integrate machine learning into camera systems.
• Apply advanced machine learning methods to enhance image quality and system architecture.

• 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.