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.
We are seeking a candidate with a strong background in applied ML research and development particularly in multimodal LLM natural language processing/generation speech generation/understanding to join our cross-functional team focused on advancing capabilities in systems like Siri. We are looking for applied ML researchers who can develop end-to-end solutions from data scaling to necessary model implementation and training while collaborating with other engineering teams to bring research to production. You will develop and deploy novel deep learning technologies that make Siri more intelligent natural and useful. To succeed in this role you should be a strong researcher and engineer an excellent programmer and a creative problem solver who enjoys learning new techniques improving systems and taking ownership of complex problems. You should also thrive as a team player in a fast-paced environment.
Develop and build multilingual multimodal LLMs to improve speech and conversational experiences for Apple customers the state of the art in natural language processing speech and audio and build robust speech-centric LLM systems that enable next-generation conversational assistant features across Apple closely with cross-functional partners in research engineering design and production to deliver scalable high-quality ML current with emerging research and industry trends and help define the future direction of AI-powered Siri experiences
M.S. or PhD in Electrical Engineering Computer Science or related fieldsn5-7 years experience in Machine LearningnExperience in developing training/tuning large generative models or LLMsnExperience with machine learning frameworks such as JAX and/or PyTorch nProficient programming skills in Python
Experience in reinforcement learningnExperience with Speech LLMs or other Multimodal LLMsnExperience with building u0026 deploying AI agents and LLMsnExperience with large scale machine learning training/evaluationnData-centric vision and hands-on experience in developing and scaling foundation models
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.
We are seeking a candidate with a strong background in applied ML research and development particularly in multimodal LLM natural language processing/generation speech generation/understanding to join our cross-functional team focused on advancing capabilities in systems like Siri. We are looking for applied ML researchers who can develop end-to-end solutions from data scaling to necessary model implementation and training while collaborating with other engineering teams to bring research to production. You will develop and deploy novel deep learning technologies that make Siri more intelligent natural and useful. To succeed in this role you should be a strong researcher and engineer an excellent programmer and a creative problem solver who enjoys learning new techniques improving systems and taking ownership of complex problems. You should also thrive as a team player in a fast-paced environment.
Develop and build multilingual multimodal LLMs to improve speech and conversational experiences for Apple customers the state of the art in natural language processing speech and audio and build robust speech-centric LLM systems that enable next-generation conversational assistant features across Apple closely with cross-functional partners in research engineering design and production to deliver scalable high-quality ML current with emerging research and industry trends and help define the future direction of AI-powered Siri experiences
M.S. or PhD in Electrical Engineering Computer Science or related fieldsn5-7 years experience in Machine LearningnExperience in developing training/tuning large generative models or LLMsnExperience with machine learning frameworks such as JAX and/or PyTorch nProficient programming skills in Python
Experience in reinforcement learningnExperience with Speech LLMs or other Multimodal LLMsnExperience with building u0026 deploying AI agents and LLMsnExperience with large scale machine learning training/evaluationnData-centric vision and hands-on experience in developing and scaling foundation models
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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