We are seeking a machine learning engineer with extensive experience in training large generative models to contribute to our video generation projects. The role involves working on pre-training, fine-tuning, and optimizing inference for these models. You will collaborate with engineers and researchers at Apple to enhance our products while shaping future innovations. The ideal candidate will have a strong engineering background and a proven track record in managing the lifecycle of generative models.

• Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or a relevant degree.
• A minimum of 3 years of relevant industry experience.
• Experience with large-scale generative model training for video generation.
• Strong software engineering skills in Python, with proficiency in a modern deep learning framework such as PyTorch or JAX.
• Experience with video generation architectures, including diffusion or autoregressive models.

• Design the training recipe and run large distributed training jobs.
• Develop fundamental model capabilities for video generation.
• Collaborate with engineers and researchers across Apple.
• Ensure that the resulting models are efficient to run and production-ready.
• Work through ambiguity and communicate complex technical results clearly.

• 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.