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 requires a strong background in camera and image sensor technologies, along with expertise in machine learning. You will be responsible for the research, design, development, testing, and qualification of camera hardware for Apple products.

• Bachelor's degree in Computer Science, Electrical Engineering, Physics, Optics, or a related field.
• A minimum of 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.
• MS or Ph.D. in Machine Learning, Electrical Engineering, Computer Science, Physics, Optics, or equivalent.
• 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.

• Conduct research and development for camera hardware technologies.
• Collaborate with cross-functional teams to integrate machine learning into camera systems.
• Evaluate and benchmark Apple camera products for performance and quality.
• Design and implement machine learning algorithms for camera applications.
• Characterize and test camera hardware to ensure optimal performance.

• 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.