About The Position

Join the Siri organization to help develop a deeply personal, integrated assistant powered by Apple Intelligence. The role focuses on efficient machine learning for speech and multimodal modeling, including dialog systems and foundation models. You will develop and deploy deep learning technologies that make Siri more intelligent, natural, and useful across Apple platforms, and bring research innovations into production. The work emphasizes running advanced models efficiently on servers and devices while minimizing latency, preserving privacy, and saving energy. Research may be published and can directly improve the experience of Siri users.

Requirements

  • Demonstrated expertise in efficient deep learning, supported by publications at relevant conferences or a track record applying efficient deep learning techniques to products.
  • Proficient programming skills in Python and one deep learning toolkit such as JAX, PyTorch, or TensorFlow.
  • PhD in Mathematics, Computer Science, or another technical field, or equivalent industry experience.
  • Strong expertise in efficient machine learning, model compression, and algorithm optimization techniques.
  • Track record in software design, coding, and parallel computing.
  • Experience with large-scale machine learning training and evaluation.
  • Expertise in on-device intelligence and learning with strong privacy protections.
  • Ability to work in a collaborative environment.

Responsibilities

  • Advance efficient machine learning for speech and multimodal modeling.
  • Develop and deploy deep learning technologies for Siri, including technologies for dialog systems and foundation models.
  • Optimize advanced models to run efficiently on servers and devices, minimizing latency, preserving privacy, and saving energy.
  • Bring research innovations into production.
  • Contribute to large-scale machine learning training and evaluation.
  • Collaborate with engineers and scientists across the Siri team.
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