Machine Learning Systems Engineer

As part of Apple Cloud Platform, our team is responsible for building libraries and services which form the foundations of critically important systems at Apple.

Specifically, as a ML Systems Engineer, you will focus on building software stack to run large machine learning models (generative AI, LLMs) over multiple high performance Apple Silicon SoCs.

Key Qualifications

• Practical experience running and evaluating machine learning models for quality and performance metrics
• Experience in system-level code optimisation and power/performance evaluation for ML acceleration hardware
• Large‑scale server side development experience
• Experience programming in Swift, C, C++, iOS/macOS, XCode
• Bonus qualification: familiar with Apple ML stack (ANE, CoreML, MPS/Metal), high‑level general distributed ML stack (PyTorch‑distributed, NCCL) and high throughput inter‑chip communication systems.

Responsibilities and Work ...