Sr. Machine Learning Scientist, Siri Speech

You will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in dialog systems and foundation models— ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities. You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural, and useful. You’ll help us advance the state of the art in natural language processing, speech and audio modeling, and multi-modal learning, with a strong focus on bringing your innovations into production. Your ideas will directly impact the daily lives of billions of users through Siri. Demonstrated expertise in deep learning with 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 PyTorch, JAX, or Tensorflow Bachelor's, Master's, or PhD in Computer Science or other related disclipline Experience with conversational AI or multimodal LLM Experience with large scale machine learning training/evaluation Data-centric vision about foundation model

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