We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning including natural language processing multi-modal understanding and combining learning with knowledge. As a distinguished engineer you will identify new directions in research or products and land big impacts along these directions and influence the direction of Apples AI efforts.
Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g. NeurIPS ICML ICLR CVPR ICCV ECCV KDD ACL ICASSP InterSpeech) or a track record in applying deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX PyTorch or Tensorflow
Ability to work in a collaborative environment
Web-scale information retrieval
Human-like conversation agent
Multi-modal perception for existing products and future hardware platforms
On-device intelligence and learning with strong privacy protections
PhD or equivalent practical experience in Computer Science or related technical field
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