LandOfferSenior ML Infrastructure Engineer, Proactive
Job details
- Level
- Senior
- Posted
- Jul 1, 2026
- Last confirmed open
- Oct 26, 2026
What you'll need to apply
What this employer's standard application typically asks
Company-specific questions
- Have you previously worked at Apple?
About this role
The Intelligence Platform team empowers clients across Apple’s operating systems with high quality user-centric knowledge and inferences that enable next generation user experiences. We’re a systems engineering team focused on building the platform which enables state of the art technologies like generative AI, graph machine learning, and private learning to be used by hundreds of teams across Apple.
This platform plays a critical role in the OS, acting as a central nervous system that is responsible for receiving, processing, responding to, and remembering crucial information. We are looking for an accomplished and driven senior software engineer with a background in designing large systems around Machine Learning, Large Language Models, and Generative AI.
Your primary role will be designing and building the platform for teams across Apple used to bring intelligence to their applications and services. Your ideas will power next generation features, and impact hundreds of millions of people worldwide in their daily lives!
As a Senior Engineer on the Intelligence Platform Team, you’ll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities.
Your work will include
Collaborating with teams across Apple on training, qualifying, deploying, and serving models; designing and refining systems and APIs for Machine Learning and Generative AI; understanding and adapting new model architectures to constraints of their execution environments; working with leadership across Apple to define policy.
You will be responsible for bringing industry leading research to hundreds of millions of people using Apple products every day.
Excellent software design, problem solving and debugging skills Background architecting and building data or machine learning platforms Experience building on LLMs or other generative models Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications. Deep understanding of multi-threaded programming and synchronization.
Experience building production feature engineering pipelines a plus Experience with distributed data systems a plus Experience with macOS/iOS development is a plus