Large Machine Learning Model Optimization Engineer, SIML

We’re looking for strong Machine Learning software engineers/leaders to drive the development of the on-device Apple Intelligence LLM and diffusion model developments. This includes defining and leading the execution of model compression, distillation, and integrating to the full Apple Intelligence user experiences. We expect you to have strong, efficient ML model development experiences and a passion for shipping machine learning models on device. We also encourage publishing novel research at top ML conferences. Minimum Qualifications Software engineering skills in Python Experience in developing large computer vision and machine learning models, particularly on the hardware-aware model optimizations BS and a minimum of 3 years relevant industry experience Preferred Qualifications Familiar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large diffusion models or language models MS or PhD degree in Computer Science, or equivalent industry research experience Experience with hardware architecture, software & hardware co-design Leadership experience in driving large-scale projects in the industry Strong communication skills; phenomenal work ethic and collaboration ML compiler High performance kernel implementation Distributed inference