The Machine Learning Engineer role at Apple's Camera Algorithm team focuses on developing innovative machine learning technologies for real-time auto-focus in camera products. The position requires a technical leader to manage the architecture and productization of advanced algorithms. The engineer will work independently to shape the long-term machine learning roadmap and ensure seamless user experiences in various lighting conditions. Collaboration with hardware and firmware teams is essential to optimize system-level flows and influence future designs.

• MS in Computer Science, Machine Learning, Electrical Engineering, or a related field.
• Experience in defining datasets for machine learning network training on low-level vision tasks.
• Expertise in modern machine learning frameworks and libraries, specifically PyTorch or TensorFlow/TFLite/LiteRT.
• Strong software engineering and architectural skills, highly skilled at coding in Python and C.
• Good knowledge of optics and image quality metrics impacting critical image sharpness evaluation.
• Track record of pioneering innovation comprising publications in top-tier computer vision conferences or patents.

• Own the end-to-end architecture, rapid prototyping, and productization of advanced machine learning-based auto-focus algorithms.
• Drive the long-term ML roadmap for auto-focus by designing novel learning-based systems.
• Coordinate the activities of sub-teams to create sophisticated architecture, training, and tooling for machine learning-based auto-focus development.
• Partner with the SOC architecture team to influence future silicon designs.
• Evaluate new camera components impacting auto-focus in collaboration with the hardware team.
• Optimize system-level flows for machine learning algorithms with the firmware team.

• 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.