As a ML engineer in the SIML HOUr team, you will work with large-language models and multi-modal generative models, following closely groundbreaking advancements in this domain, to adjust and apply them to internal use cases. One main mission of the role is building adapters on top of large models to enable specific use cases, having a direct impact on features across the Apple ecosystem. The work will involve translating high-level product goals into different levels of the stack. From defining the data needs, manipulating data, fine-tuning pre-trained models for the task, evaluating it across relevant metrics and power and performance, prototyping and delivering it for integration. The work will be multi-functional, collaborating with ML researchers, software engineers, product design, and other teams. Be expected to iterate quickly to deliver a high quality model, that is performant, reliable, tested extensively, and documented. Apart from model development, the role will also give the experience of scoping projects, estimating timelines, multi-functional planning and presenting your work to organization leadership. If this could be of interest, please apply!