Join Apple's Video Engineering team as a Machine Learning Engineer and impact billions of users worldwide. This role focuses on developing cutting-edge video processing algorithms using machine learning and AI technologies. You'll be part of a dynamic team responsible for creating image and video core technologies used across Apple's product lineup.
The position offers an exciting opportunity to work with generative AI models in video processing applications. You'll be involved in developing machine learning models for specific video processing applications and optimizing these features for production use. The role requires expertise in deep learning, computer vision, and hands-on experience with Python and frameworks like PyTorch.
As a Machine Learning Engineer, you'll work on data collection, model training, and implementation of state-of-the-art deep learning methods for low-level vision tasks. You'll have the chance to work with generative and multi-modal foundation models to enhance video features across Apple's product ecosystem.
The ideal candidate should have at least a Master's degree in Machine Learning, Computer Science, or related fields, with strong programming skills and experience in training large generative neural networks. Knowledge of low-level vision algorithms and digital signal processing is highly valued.
Apple offers a competitive compensation package, including base pay ranging from $143,100 to $264,200, plus equity opportunities through stock programs, comprehensive benefits, and the chance to work on products that impact users globally. Join a team that's pushing the boundaries of AI and machine learning in video processing, and help shape the future of Apple's technology.