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Embedded Machine Learning Engineer, Wireless Technologies & Ecosystems

Apple· Wireless Technologies & Ecosystems (WTE) / iOS Robotics
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Hybrid (Seattle, WA)$142.3k - $263.3kFull-timePosted 6mo ago

About the role

Embedded ML engineer role focused on deploying low-power ML models on embedded hardware for robotics and perception on Apple platforms, transforming advanced ML algorithms into optimized, on-device solutions with power and privacy considerations.

Responsibilities

  • Design and implement efficient ML inference pipelines on resource-constrained embedded hardware.
  • Optimize neural network models (e.g., quantization, pruning) for performance, memory, and power on edge devices.
  • Develop and integrate robust C/C++ low-level software for deploying ML models on microcontrollers, DSPs, and ML accelerators.
  • Analyze and debug performance bottlenecks and power consumption across the hardware/software stack for ML workloads.
  • Collaborate with ML researchers, hardware engineers, and platform teams to deliver high-quality, power-efficient edge AI solutions.
  • Evaluate and recommend embedded platforms, toolchains, and ML frameworks for on-device intelligence applications.

Qualifications

  • Bachelor’s degree (3+ years experience) or Master’s degree (2+ year experience) in CS, EE, or a related technical field.
  • Familiar in C/C++ for embedded systems development, including RTOS, microcontrollers, and low-level hardware interactions.
  • Proven ability to optimize and deploy ML models for resource-constrained edge devices using techniques like quantization/pruning and frameworks (e.g., TensorFlow Lite, ONNX Runtime, Core ML).
  • Strong analytical and debugging skills to resolve performance bottlenecks across hardware, firmware, and ML inference.
  • Experience with ML inference hardware acceleration (DSPs, NPUs, ASICs). Familiarity with diverse neural network architectures and training methodologies for efficient edge deployment.
  • Knowledge of computer vision, NLP, or audio processing in an embedded/robotics context.
  • Experience with embedded Linux or other RTOS in a production environment.
  • Contributions to open-source embedded ML projects or relevant publications.
  • Proficiency with Python for automation and data analysis.

Skills

Required:ML model optimization (quantization/pruning)C/C++ for embedded systemsML frameworks for on-device inferencePython for automation/data analysis

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement (tuition)
  • Potential discretionary bonuses or commission payments
  • Relocation assistance
Last updated Aug 7, 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
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