The Video Engineering group at Apple is seeking a machine learning engineer to develop advanced technologies for image and video processing. This role involves applying cutting-edge machine learning techniques to enhance customer experiences across Apple products. The engineer will work both independently and collaboratively within a fast-paced team, focusing on prototyping innovative deep learning applications. The position offers the opportunity to shape products that will delight millions of users.

• Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.
• Excellent fundamentals in machine learning.
• Knowledge of Video or Image processing or Computer Vision.
• Solid programming skills for common ML frameworks like PyTorch or TensorFlow.
• Master's degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.
• Experience in prototyping models for edge devices through quick iterations.
• Familiarity with productization flow for ML models.
• Prior experience working on deep learning techniques for video processing or computer vision.
• Strong fundamentals in Computer architecture.
• Good written and oral interpersonal skills.

• Develop machine learning based technologies for the image and video domain.
• Prototype innovative deep learning applications for video processing.
• Design sophisticated model architectures and fine-tune performance parameters.
• Implement architectural modifications to enhance overall output quality.
• Optimize models for memory efficiency, power consumption, and processing speed.
• Strategically distribute computational workloads across various hardware components.

• 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.