Senior ML Research Engineer, Siri Speech: On-Device AI

Apple, Inc.; Cambridge; On-site; GBP 90,000 - 130,000; Full time

Job summary

Apple Inc. in Cambridge, UK seeks a Senior Machine Learning Research Engineer for Siri Speech to advance efficient ML for dialog systems and multimodal modeling.

You will work with a world‑class team to push the boundaries of private, energy‑efficient AI on server and device platforms, impacting billions of users across Apple devices. The role emphasizes publishing results and shipping production-ready models with strong privacy and performance considerations.

Qualifications

• Demonstrated expertise in efficient deep learning with publication record in relevant 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
• PhD in Mathematics or Computer Science, or other technical field, or equivalent industry experience

Responsibilities

• You 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 millions of users.
• As a researcher on our team, youʼll help us advance the state of the art in efficient machine learning for speech and multi-modal modeling, with a strong focus on running advanced models efficiently on server and devices, minimizing latency, preserving privacy and saving energy and bringing your innovations into production.

Skills

Efficient deep learning

Python

DL frameworks (PyTorch/TensorFlow/JAX)

Research publications

Education

PhD in Mathematics or Computer Science

Tools

JAX

PyTorch

TensorFlow

Job description

Apple Inc. in Cambridge, UK seeks a Senior Machine Learning Research Engineer for Siri Speech to advance efficient ML for dialog systems and multimodal modeling.

You will work with a world‑class team to push the boundaries of private, energy‑efficient AI on server and device platforms, impacting billions of users across Apple devices. The role emphasizes publishing results and shipping production-ready models with strong privacy and performance considerations.