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# Applied Machine Learning Engineer, Platform Architecture

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computing Platforms, Big Data, C++ (Programming Language), Computer Programming, Computer Engineering, Python (Programming Language), Machine Learning, Systems Architecture, System on a Chip, Feature Engineering, Deep Learning, Caching, Information Technology, Machine Learning Operations
- **Published:** August 20, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3360094313&tx=FL535FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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 in modern deep learning frameworks., * Working knowledge of SoC compute, memory, and power-management subsystems, how real workloads exercise them, and the C/C++ modeling infrastructure typical of SoC environments.
 * Depth in time-series analysis, including feature engineering on streaming telemetry.
 * Experience applying ML beyond prediction, including driving decisions, optimizing policies, and efficiently searching large configuration spaces.
 * Track record of training large-scale models across distributed clusters.
 * Experience building stateful, multi-turn agentic frameworks and complex execution flows.
 * M.S. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field and 10+ years of relevant experience.
 * Track record of moving quickly from hypothesis to result and iterating based on evidence.
 * Excellent communication and collaboration skills to work effectively across technical disciplines.

## Description

Join the SoC Architecture team building ML and generative AI systems that shape how future Apple silicon is architected and tuned. We're looking for an AI/ML Engineer who can turn complex hardware data into architectural insight. You will apply that expertise to studying and improving the performance and power behavior of modern System-on-Chip designs across the full product lifecycle: ML-driven research to identify what should change in hardware or software, hands-on partnership with silicon and OS teams to implement and bring those changes up on real silicon, and seeing them through to ship. This role is ideal for a hands-on ML engineer who is energized by both research and shipping product, and who thrives at the intersection of large-scale data, system architecture, and ML., You will join a multidisciplinary team of ML, software, and architecture engineers building systems that drive architectural exploration and tuning for current and future Apple SoCs. The work targets the full performance-power tradeoff space across fabric, memory subsystem, system caches, dynamic voltage and frequency state control, clock and power gating policies, sleep state controls, and bottleneck prevention.


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