JobsApplied Machine Learning Engineer, Platform Architecture
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Applied Machine Learning Engineer, Platform Architecture

Apple

Location

Cupertino, CA

Type

Full-time

Posted

8/18/2026

Compensation

Not listed

PhD with 5+ Years of Experience
Approval 98.9%·Filings 5,543·New hires 2,691·
👑 Elite Sponsor
·FY 2025

Job description

The AI/ML Engineer will join the SoC Architecture team at Apple, focusing on building ML and generative AI systems that influence the design and tuning of future Apple silicon. This role requires transforming complex hardware data into architectural insights to enhance the performance and power behavior of System-on-Chip designs. The engineer will engage in ML-driven research, collaborate with silicon and OS teams, and oversee the implementation of changes on real silicon. Ideal candidates will thrive at the intersection of large-scale data, system architecture, and machine learning.

Requirements

  • 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.
  • Depth in time-series analysis, including feature engineering on streaming telemetry.
  • Experience applying ML beyond prediction, including driving decisions and optimizing policies.
  • 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.

Responsibilities

  • Study and improve the performance and power behavior of modern System-on-Chip designs.
  • Conduct ML-driven research to identify necessary changes in hardware or software.
  • Collaborate with silicon and OS teams to implement changes on real silicon.
  • Drive architectural exploration and tuning for current and future Apple SoCs.
  • Manage the full performance-power tradeoff space across various subsystems.
  • Iterate quickly from hypothesis to result based on evidence.
  • Communicate and collaborate effectively across technical disciplines.

Benefits

  • Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.

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