Apple
Applied Machine Learning Engineer, Platform Architecture
$185K–$278K
Cupertino, California · Full-time · Posted Aug 17, 2026
- Experience
- Applied ML industry experience; no specific number of years required. Preferred: M.S. or Ph.D. and 10+ years of relevant experience.
- Education
- B.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related field. Preferred: M.S. or Ph.D. in those fields or a related field.
About the job
Build ML and generative AI systems that analyze workload and SoC data, guide hardware and software improvements, and help validate and ship those changes on Apple silicon.
What you'll do
- Build ML and generative AI workflows for workload analysis and SoC architectural exploration.
- Analyze large-scale workload data, including time-series telemetry, to identify architectural improvements.
- Partner with hardware, software, and architecture teams to implement, validate on real silicon, and ship performance and power improvements.
What they ask for
- B.S. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Applied ML industry experience deploying complex ML systems in production.
- Experience applying modern ML techniques to large real-world datasets.
- Programming experience in Python and experience with modern deep learning frameworks.
Nice to have
- Working knowledge of SoC compute, memory, and power-management subsystems and C/C++ modeling infrastructure.
- Experience with time-series analysis, distributed model training, decision-making and policy optimization, or agentic frameworks.
Pay
$184,700 and $277,600 (USD, base pay range)
Tools
Python, C/C++
AI focus
Apply ML and generative AI to workload analysis, SoC architectural exploration, time-series telemetry, and hardware and software optimization.
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