Embedded Machine Learning Engineer

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.

• Design and implement efficient ML inference pipelines on resource-constrained embedded hardware
• Optimize neural network models 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

• Proficiency in C/C++ for embedded systems development
• Proven ability to optimize and deploy ML models for resource-constrained edge devices
• Strong analytical and debugging skills to resolve performance bottlenecks across hardware, firmware, and ML inference

• Comprehensive medical and dental coverage
• Retirement benefits
• Range of discounted products and free services
• Reimbursement for certain educational expenses
• Discretionary bonuses or commission payments
• Relocation assistance

Apple is a technology company that designs, manufactures, and markets consumer electronics, computer software, and online services.