Machine Learning Engineer, Large Visual Generative Model Optimization

We are looking for Machine Learning System Engineers who have a proven background at the intersection of ML optimization and ML model deployment. This role is for visual content generation initiatives that are an integral part of Apple Intelligence. The primary responsibilities include designing, implementing, and deploying innovative conditional visual generative models, overseeing software workflows and test protocols for assembling and deploying visual generative models, and performing R&D in emerging areas of efficient neural network development including quantization, pruning, and compression algorithms with a focus on visual generation models. The role will also handle various components in the model lifecycle of such large visual models, ranging from training, optimization, deployment, validation, and evaluation. Effective communication of results and insights within a highly multi-functional team is crucial.