Machine Learning Engineer Multimodal Intelligence

Imagine what you could do here. At Apple new ideas have a way of becoming extraordinary products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish. Multifaceted amazing people and inspiring innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products and experiences!nnThe Multimodal Intelligence team builds and ships the Computer Vision and Machine Learning systems behind Apple Intelligence spanning data collection and curation training and fine-tuning evaluation optimization and on-device deployment. Our team has an established track record of delivering features that combine Apples sensing hardware with large foundation models including Visual Intelligence and the on-device foundation models that power text and visual understanding across iPhone iPad Mac and Apple Vision Pro. We are focused on building experiences where a device can see read and reason about the world around it privately responsively and on-device wherever possible.

We are looking for a Machine Learning Engineer to build the pipelines infrastructure and production systems that turn multimodal foundation models into shipping Apple Intelligence features. You will own end-to-end model delivery: building and scaling data curation and training pipelines fine-tuning and optimizing large multimodal models for on-device and hybrid execution standing up reproducible evaluation and regression testing for text and visual understanding and hardening promising approaches into robust maintainable production systems under real latency memory power and privacy will work closely with modeling platform hardware and product engineering teams across Apple taking future hardware design and product needs into account as you make implementation decisions and you will have the opportunity to collaborate broadly to deliver the best possible products.

Experience in deep learning with demonstrated work in at least one area of multimodal systems (e.g. vision language video audio etc.)nProficiency in Python and in a modern deep learning framework such as PyTorch or JAXnExperience with rapid prototyping reproduction and validation of research ideasnAbility to work in a collaborative environmentnAbility to communicate the results of analyses in a clear and effective mannernBS and a minimum of 3 years of relevant industry experience

Masters or PhD or equivalent practical experience in Computer Science Computer Vision Machine Learning or related technical fieldnDeep expertise in multimodal foundation models with a focus on practical applicationsnTrack record of translating research into practical applications either through published work or industry experiencenStrong applied research experience in at least one major area of model development (data curation pre-training fine-tuning alignment or evaluation) particularly as it applies to multimodal systemsnExperience with large-scale training pipelines including working with large datasets and scaling models across distributed systemsnExperience bridging research ideas with production constraints