> Markdown version of [/jobs/ext/4667913-sr-machine-learning-research-engineer-siri-speech](https://www.wearedevelopers.com/jobs/ext/4667913-sr-machine-learning-research-engineer-siri-speech). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Machine Learning Research Engineer, Siri Speech - **Company:** Apple Inc. - **Location:** Cambridge, United Kingdom - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Model Compression, Software Engineering, Pytorch, Deep Learning, Parallel Computation, Siri, Information Technology - **Published:** November 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a9afadac7aa0a890 ## About the Role * 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 Preferred Qualifications * Strong expertise in efficient machine learning, model compression and algorithm optimization techniques * A track record in software design, coding and parallel computing * Experience with large scale machine learning training/evaluation * On-device intelligence and learning with strong privacy protections * Ability to work in a collaborative environment ## Description On the Siri team, you will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in efficient machine learning for effective dialog systems and foundation models-ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities.