The codec deep video processing team at Apple is focused on developing machine learning algorithms to enhance user visual experiences. As a Machine Learning Engineer, you will collaborate with various teams on multiple projects, contributing from data curation to model development. This role emphasizes the creation of next-generation video processing features that will impact millions of users. You will be responsible for identifying and developing machine learning solutions to optimize and productize these features.

• BS degree and a minimum of 3 years of relevant industry experience.
• Experience evaluating supervised, unsupervised, and deep learning models.
• Proficiency in Python and libraries such as NumPy, pandas, scikit-learn, PyTorch, or TensorFlow.
• Knowledge of principles, algorithms, and techniques used in machine learning and video processing.
• PhD or Master's degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.
• Knowledge of low-level vision algorithms including spatial and temporal image/video processing.
• Experience working with multimodal large language models (MLLMs) such as image-text and video-audio systems.
• Experience evaluating generative and multimodal models, including benchmarking and quality assessment.
• Publication record in top-tier conferences such as CVPR, ICCV, SIGGRAPH, ECCV, NeurIPS, ICML, or ICLR.
• Strong communication and documentation skills.

• Develop machine learning algorithms for video processing features.
• Collaborate with multiple teams on various projects.
• Identify and develop machine learning solutions.
• Optimize and productize features for Apple products.
• Contribute to data curation and model development.

• 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.