← All roles

Applied Machine Learning Engineer, Platform Architecture

Apple· Machine Learning and AI
Apply on company site
Cupertino, CA$184.7k - $277.6kfull-timePosted 2mo ago

About the role

Role focused on turning hardware data into architectural insight to optimize performance and power in Apple SoCs. Combines ML research with hands-on silicon collaboration to drive changes that ship in products, covering ML-driven workload analysis, architectural exploration, and deployment across hardware/software stacks.

Responsibilities

  • Design and build advanced ML and generative AI workflows to automate workload analysis and SoC architectural exploration.
  • Apply modern deep learning and generative AI techniques to large-scale workload data, including time-series telemetry, to inform software and hardware architectural improvements.
  • Translate insights into concrete hardware and software changes that improve performance, power, and performance per watt.
  • Partner with hardware, software, and architecture teams across Apple to implement those changes, validate them on real silicon, and see them through to shipping product.

Qualifications

  • 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.

Skills

Required:Time-series analysisDistributed training of large-scale modelsHardware-software co-design

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses — including tuition
  • discretionary bonuses or commission payments as well as relocation (role may be eligible)
  • employee stock programs including discretionary RSUs and Employee Stock Purchase Plan
Last updated Aug 21, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
Company profileWebsite

More open roles at Apple