Machine Learning Engineer - Multimodal Foundation Models

Machine Learning Engineer - Multimodal Foundation Models Sunnyvale, California, United States Machine Learning and AI 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 there's no telling what you could accomplish. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple product & experiences! As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire the future Apple products. Description This position requires a highly motivated person who wants to help us advance the field of Generative AI and multi-modal foundation models. You will be responsible for designing, implementing, and evaluating foundation models based on the latest advancements in the fields, taking into account future hardware design and product needs. Additionally, you will have an opportunity to engage and collaborate with several teams across Apple to deliver the best products. Minimum Qualifications BS and a minimum of 3 years relevant industry experience. Solid programming skills with Python. Familiarity with deep learning toolkits. Familiar with challenges associated with training large models and working with large data. Key Qualifications Preferred Qualifications PhD in Computer Science, Computer Vision, Computer Graphics, Machine Learning or equivalent. Strong academic and publication record (CVPR, ICCV/ECCV, NeurIPS, ICML, etc). Deep understanding of large foundation models. Deep understanding of multi-task, multi-modal machine learning domain. Ability to communicate the results of analyses in a clear and effective manner. Apple is an equal opportunity employer that is committed to inclusion and diversity.

#J-18808-Ljbffr