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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

Summary

Help shape Siri, a widely used AI assistant powered by Apple Intelligence and privacy-focused capabilities.

Work may affect users across iOS, iPadOS, macOS, watchOS, and visionOS.

Role description

  • Work on efficient machine learning for effective dialog systems and foundation models.
  • Address natural-language understanding, multi-turn context tracking, and integration of speech, text, and other modalities.
  • Collaborate with engineers and scientists on core Siri machine-learning problems.

Minimum qualifications

  • Demonstrated efficient deep-learning expertise, shown through relevant publications or application of techniques to products.
  • Proficient 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.

Preferred qualifications

  • Expertise in efficient machine learning, model compression, and algorithm optimization.
  • Experience in software design, coding, and parallel computing.
  • Experience with large-scale machine-learning training and evaluation.
  • Experience with on-device intelligence and learning with strong privacy protections.
  • Ability to work collaboratively.

About Apple

Apple describes inclusion, accessibility, and fair consideration of applicants as workplace commitments.

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