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Description
We design, build, and maintain large-scale ML systems that make petabytes of data easy to process and query while upholding Apple's rigorous privacy standards, for training the next generation of Apple Foundation Models.
Minimum Qualifications
4+ years of experience with large language models (LLMs), large multimodal models (LMMs), computer vision, or related AI/ML technologies Experience developing and evaluating machine learning models, with a strong understanding of data and model quality Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch, TensorFlow, or JAX Experience building large-scale machine learning systems and working with distributed data processing frameworks Strong problem-solving skills with a results-oriented mindset Experience leading rapid prototyping and proof-of-concept development for AI/ML applications Excellent communication skills, with the ability to work independently and collaborate effectively with cross-functional teams Master's degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent industry experience
Preferred Qualifications
Experience developing or advancing state-of-the-art LLMs and/or LMMs Experience with modern deep learning architectures, including Transformers, mixture-of-experts (MoE), and multimodal models Experience deploying and scaling machine learning and deep learning models, including VLMs, for production-scale inference Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ICCV, AAAI, KDD) and/or demonstrated significant industry impact in AI
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