Sr. Machine Learning Research Engineer, Siri Speech
Cupertino · On-site
About this role
Join the team redefining what a deeply personal and integrated assistant can be.
As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.
This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.
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.
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
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.
Minimum 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
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
Company at a glance
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
Founded1976
Team Size10,001+ employees
WorkspaceOn-site
IndustryComputers and Electronics Manufacturing
Location
Cupertino, California, United States
Websiteapple.com/careers
LinkedInLinkedIn
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