Description
Apple’s Video Engineering team is seeking an ML Infrastructure Engineer to build and optimize infrastructure for training, adapting, and deploying large-scale generative models. The role focuses on distributed and parallelized image and video training, training hardware utilization, pipeline profiling, workload scheduling across GPU clusters, compilation-stack optimization, and experimentation tooling and CI/CD pipelines. Candidates need a relevant bachelor’s degree, at least three years of industry experience, LLM training experience, advanced PyTorch fluency, Python or C++ programming skills, and distributed large-model training experience.
