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# Embedded Machine Learning Engineer, Wireless Technologies & Ecosystems

- **Company:** Apple Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Artificial Intelligence, Algorithm Design, Data Analysis, Apple Products, Artificial Neural Networks, Audio Signal Processing, C++ (Programming Language), Software Debugging, Linux on Embedded Systems, Firmware, Python (Programming Language), Machine Learning, Open Source Technology, Real-Time Operating Systems, Tensorflow, PIC Microcontroller, ONNX (Open Neural Network Exchange) Format, Wireless Technologies, Hardware Acceleration, Machine Learning Operations
- **Published:** August 6, 2026
- **Apply:** https://www.seattlejobs.com/job.asp?id=3342461230&tx=ZT1514TYZ&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

* 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.

## Description

Join Apple's innovative iOS Robotics team within Wireless Technologies and Ecosystems (WTE). We're expanding the DockKit Framework's focus on accessories, algorithms, and user experiences to make iOS a leading platform for Perception Algorithm development. As an Embedded Machine Learning Engineer, you'll deploy efficient, low-power ML models directly onto embedded hardware, driving advanced, on-device intelligent experiences for millions of users in robotics and intelligent systems., This role offers a unique opportunity to innovate at the intersection of AI and embedded hardware. You will transform advanced ML algorithms into highly optimized, power-efficient code for custom silicon and microcontrollers in Apple products, specifically for robotics. You'll tackle complex challenges like memory constraints, computational budgets, and real-time performance, ensuring ML models deliver exceptional user experiences while adhering to Apple's privacy and power efficiency standards.


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