Apple
Machine Learning Architect, Platform Architecture
$216K–$325K
Cupertino, California · Full-time · Posted Sep 22, 2026
- Experience
- 20+ years of relevant experience (preferred).
- Education
- Bachelor’s degree; MS or PhD in EE/CE/CS or related field preferred.
About the job
Develop and evaluate optimized machine-learning workloads and performance models for Apple silicon to guide hardware, system, software, and algorithm architecture decisions.
What you'll do
- Implement optimized ML workloads on Apple silicon, including Neural Engine, GPU, and CPU.
- Build performance models and simulations for future hardware and analyze system architecture trade-offs.
- Evaluate ML model optimization techniques through experiments and analysis, and propose ideas to inform hardware and algorithm direction.
What they ask for
- Bachelor’s degree.
- Experience in C/C++ and/or Python.
- Experience with hardware IPs such as ML HW accelerators, GPU/CPU, or image/video processors.
- Experience with ML frameworks (e.g. PyTorch) and efficient implementations of machine learning algorithms.
Nice to have
- MS or PhD in EE/CE/CS or related field.
- Experience optimizing and deploying ML models and/or runtime frameworks in production inference/training environments; experiment design, prototyping, performance analysis, complexity modeling, communication, or understanding of compilers.
Pay
$216,200 and $324,800 USD base salary
Tools
C/C++, Python, PyTorch, Neural Engine, GPU, CPU
AI focus
Optimize and map ML workloads to Apple silicon; evaluate ML model optimization techniques and develop performance models to guide architecture and algorithm decisions.
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