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Sr. Machine Learning Research Engineer, Siri Speech

Apple
Cambridge, GBR
Full-time
Onsite
Discovered Today
Efficient deep learningPythonJAXPyTorchTensorFlowModel compression

Full Job Posting

Role overview

Join Apple's Siri organization to help build a personal, integrated assistant powered by Apple Intelligence.

Work on AI capabilities including personal-context understanding and on-screen awareness, with privacy considered from the ground up.

The work can affect users across iOS, iPadOS, macOS, watchOS, and visionOS.

Research and engineering work

  • Work on efficient machine learning for dialog systems and foundation models.
  • Address natural-language understanding, multi-turn context tracking, and integration of speech, text, and other modalities.

Minimum qualifications

  • Demonstrated efficient deep-learning expertise, shown through relevant conference publications or product application experience.
  • Proficiency in Python and one of JAX, PyTorch, or TensorFlow.
  • PhD in mathematics, computer science, or another technical field, or equivalent industry experience.

Preferred qualifications

  • Strong expertise in efficient machine learning, model compression, and algorithm optimization.
  • Track record in software design, coding, and parallel computing.
  • Experience with large-scale machine-learning training and evaluation.
  • Experience with on-device intelligence and learning that provide strong privacy protections.
  • Ability to work in a collaborative environment.

About Apple

Apple says it aims to build products that serve everyone and is committed to fair and equal consideration of applicants.

Apple describes accessibility as a fundamental human right and says it provides reasonable accommodations.

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