About the role

What will you do at Apple?

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.

DESCRIPTION

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.

MINIMUM QUALIFICATIONS

M.S. or PhD in Electrical Engineering, Computer Science or related fields 5-7+

years experience in Machine Learning Experience in developing, training/tuning

large generative models or LLMs Experience with machine learning frameworks such

as JAX and/or PyTorch Proficient programming skills in Python

PREFERRED QUALIFICATIONS

Experience in reinforcement learning Experience with Speech LLMs or other

Multimodal LLMs Experience with building & deploying AI agents and LLMs

Experience with large scale machine learning training/evaluation Data-centric

vision and hands-on experience in developing and scaling foundation models

Which skills does this role require?

Deep LearningLarge Language ModelsMultimodal LLMNatural Language ProcessingSpeech GenerationPythonJAXPyTorchData ScalingModel ImplementationModel TrainingApplied ResearchSiriApple IntelligenceiOSiPadOSmacOSwatchOSvisionOSHuman-centered DesignSoftware EngineeringArtificial Intelligence

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
Machine learning jobsCompare current openings and review what to look for in this role.
Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.