The Camera & Depth Architecture organization is seeking a machine learning engineer to innovate foundational algorithms for computational photography and computer vision. This role involves researching, designing, and qualifying novel cameras and sensors for future Apple products. You will collaborate with top engineers across Apple to bridge camera hardware and software. The position requires a strong understanding of machine learning and deep learning fundamentals.

• BS in electrical, optical or computer engineering/science with a minimum of 3 years relevant industry experience.
• Experience with software coding in Python.
• Experience with machine learning/deep learning systems, computer vision, graphics, or computational imaging applications.
• Experience with Pytorch.
• MS/PhD in computer vision, electrical, optical or computer engineering or related fields.
• Strong independent problem-solving and communication skills.
• Solid understanding of machine learning and deep learning fundamentals.
• Experience with cutting edge computer vision and machine learning research trends.

• Innovate foundational machine learning algorithms for computational photography and computer vision.
• Research, design, and qualify novel cameras and sensors for future Apple products.
• Collaborate with a wide spectrum of top engineers across Apple.
• Design and improve deep neural networks for camera technology innovations.

• 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.