The Camera Algorithm team at Apple is seeking exceptional algorithm engineers to develop image capture and processing algorithms for Apple product cameras. This role involves working with advanced camera technologies and machine learning to enhance image quality. The team fosters innovation and collaboration, allowing for significant autonomy in a fast-paced environment. Candidates will focus on prototyping and implementing lightweight computer vision algorithms for embedded systems.

• PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or a related technical field.
• Strong background in computer vision and embedded systems.
• Proficiency in algorithm development, particularly in camera imaging algorithms.
• Strong embedded coding skills and understanding of object-oriented programming (OOP).
• Proficiency in programming languages such as MATLAB, Python, C/C++, or similar.

• Develop lightweight computer vision algorithms suitable for embedded systems.
• Utilize both traditional computer vision techniques and modern learning-based approaches.
• Drive the development of algorithms from concept to deployment.
• Use camera simulations to prototype and test algorithms before hardware implementation.
• Conduct on-device testing and field testing to validate algorithm performance.
• Work closely with various teams to integrate algorithms effectively.
• Ensure smooth deployment and operation of algorithms within the broader camera 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.