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About the Role

Our team builds ML-inference applications and services on Apple Silicon in the datacenter, focusing on generative AI as part of the Private Cloud Compute component of Apple Intelligence. Join us to craft revolutionary experiences and inspire innovation.

Responsibilities

Engineer continuous improvements in stability and performance for private cloud compute.
Implement new functionality emerging from the research community in collaboration with product teams.
Write performant and scalable frameworks (in Swift and C++) to distribute and coordinate ML inference tasks.
Integrate inference code into a full service stack to ensure reliable and performant user traffic serving.
Develop code that is easy and safe to develop, update, and monitor.

Requirements

Experience working as a software engineer on large production systems.
Practical experience running machine learning models and evaluating them for quality and performance metrics.

Skills

Swift
C++
iOS/macOS
XCode
Apple ML stack (ANE, CoreML, MPS/Metal)
High-level general distributed ML stack (PyTorch-distributed, NCCL)
High throughput inter-chip communication systems
On-device iOS development

Location

Work Type

Full-time

Experience Level

Professional

About the Company

People at Apple don't just build products — they craft the kind of experience that has revolutionized entire industries.
The diverse collection of our people and their ideas inspire innovation in everything we do.