Join the team redefining what a deeply personal and integrated assistant can part of the Siri organization you will help shape one of the worlds 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 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.
The Speech Team within the Siri organization drives major speech recognition synthesis and speech to speech model changes for various features deeply embedded throughout Apples ecosystem. Our mission is to build cutting-edge infrastructure datasets and models that empower Siri conversational AI dictation and various speech enabled Apple Intelligence features with powerful capabilities across natural language understanding dialog generation speech recognition and multi-modal interaction. We apply these technologies to create engaging intelligent and personalized conversational experiences for millions of Apple users. nnWe believe that the most impactful breakthroughs in deep learning emerge when we address real-world problems at scale. We develop speech to speech experiences and the underlying multimodal foundation model technology for current and future speech-enabled features across Apples software hardware and services ecosystem. This allows for cutting edge applied research anchored in Apple specific production needs while improving speech interaction experiences for Apples customers around the world.
You will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in dialog systems and foundation models ranging from natural language understanding and multi-turn context tracking to the integration of speech text and other modalities. You will develop and deploy novel deep learning technologies that make Siri more intelligent natural and useful. Youll help us advance the state of the art in natural language processing speech and audio modeling and multi-modal learning with a strong focus on bringing your innovations into production. Your ideas will directly impact the daily lives of billions of users through Siri.
Demonstrated expertise in 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 deep learning techniques to productsnProficient programming skills in Python and one of the deep learning toolkits such as PyTorch JAX or Tensorflow
Bachelors Masters or PhD in Computer Science or other related discliplinenExperience with conversational AI or multimodal LLMnExperience with large scale machine learning training/evaluationnData-centric vision about foundation model
Required Experience:
Senior IC
Join the team redefining what a deeply personal and integrated assistant can part of the Siri organization you will help shape one of the worlds most widely used AI assistants powered by our next-generation of Apple Intelligence with capabilities like personal context understanding and on-screen aw...
Join the team redefining what a deeply personal and integrated assistant can part of the Siri organization you will help shape one of the worlds 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 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.
The Speech Team within the Siri organization drives major speech recognition synthesis and speech to speech model changes for various features deeply embedded throughout Apples ecosystem. Our mission is to build cutting-edge infrastructure datasets and models that empower Siri conversational AI dictation and various speech enabled Apple Intelligence features with powerful capabilities across natural language understanding dialog generation speech recognition and multi-modal interaction. We apply these technologies to create engaging intelligent and personalized conversational experiences for millions of Apple users. nnWe believe that the most impactful breakthroughs in deep learning emerge when we address real-world problems at scale. We develop speech to speech experiences and the underlying multimodal foundation model technology for current and future speech-enabled features across Apples software hardware and services ecosystem. This allows for cutting edge applied research anchored in Apple specific production needs while improving speech interaction experiences for Apples customers around the world.
You will work alongside a fast-growing team of world-class engineers and scientists to tackle core problems in dialog systems and foundation models ranging from natural language understanding and multi-turn context tracking to the integration of speech text and other modalities. You will develop and deploy novel deep learning technologies that make Siri more intelligent natural and useful. Youll help us advance the state of the art in natural language processing speech and audio modeling and multi-modal learning with a strong focus on bringing your innovations into production. Your ideas will directly impact the daily lives of billions of users through Siri.
Demonstrated expertise in 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 deep learning techniques to productsnProficient programming skills in Python and one of the deep learning toolkits such as PyTorch JAX or Tensorflow
Bachelors Masters or PhD in Computer Science or other related discliplinenExperience with conversational AI or multimodal LLMnExperience with large scale machine learning training/evaluationnData-centric vision about foundation model
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar
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