On the Siri team you will work alongside a fast-growing team of extraordinary engineers and scientists to solve core problems in efficient machine learning for effective dialog systems and foundation modelsranging from natural language understanding and multi-turn context tracking to the integration of speech text and other will develop and deploy novel deep learning technologies that make Siri more intelligent natural and useful. You will see your ideas not only published in papers but also improve the experience of billions of a researcher on our team youll help us advance the state of the art technology for speech and multi-modal modeling. With a focus on running advanced models efficiently on server and devices: minimizing latency preserving privacy saving energy and bringing your innovations into production.
Proven expertise in efficient deep learning with publication record in conferences (e.g. NeurIPS ICML ICLR CVPR ICCV ECCV KDD ACL ICASSP InterSpeech) or a track record in applying efficient deep learning techniques to products
Proficient programming skills in Python and one of the deep learning toolkits such as JAX PyTorch or Tensorflow
Masters Degree or PhD in Mathematics or Computer Science or other technical field or equivalent industry experience
Strong expertise in machine learning model compression and algorithm optimization techniques
A track record in software design coding and parallel computing
Experience with large scale machine learning training/evaluation
On-device intelligence and learning with strong privacy protections
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