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Sr. Machine Learning Research Engineer, Siri Speech

Apple
Cambridge, GBR
Full-time
Onsite
Discovered Today
Machine learningEfficient deep learningPythonJAXPyTorchTensorFlow

Full Job Posting

Role overview

Join Apple's Siri organization to help develop next-generation Apple Intelligence for a widely used AI assistant.

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

The work supports Siri across iOS, iPadOS, macOS, watchOS, and visionOS, with privacy and user-centered design emphasized.

Role work

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

Minimum qualifications

  • Demonstrated expertise in efficient deep learning, with relevant conference publications or a track record of applying efficient deep learning techniques to products.
  • Proficient programming skills in Python and one deep-learning toolkit such as JAX, PyTorch, or TensorFlow.
  • Ph.D. in Mathematics, Computer Science, another technical field, or equivalent industry experience.

Preferred qualifications

  • 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.
  • Experience with on-device intelligence and learning with strong privacy protections.
  • Ability to work in a collaborative environment.

About Apple

Apple states that it aims to include perspectives in its products and workplace and to treat applicants fairly.

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

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