Embedded Machine Learning Engineer

Summary

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.nn

Description

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.n

Minimum Qualifications

Bachelor’s degree (3+ years experience) or Master’s degree (2+ year experience) in CS, EE, or a related technical field.nProficiency in C/C++ for embedded systems development, including RTOS, microcontrollers, and low-level hardware interactions.nProven 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).nStrong analytical and debugging skills to resolve performance bottlenecks across hardware, firmware, and ML inference.n

Preferred Qualifications

Experience with ML inference hardware acceleration (DSPs, NPUs, ASICs).Familiarity with diverse neural network architectures and training methodologies for efficient edge deployment.nKnowledge of computer vision, NLP, or audio processing in an embedded/robotics context.nExperience with embedded Linux or other RTOS in a production environment.nContributions to open-source embedded ML projects or relevant publications.nProficiency with Python for automation and data analysis.n

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.u003cbru003eu003cbru003eApple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. u003ca href='https://www.apple.com/careers/us/benefits.html' target='_blank' aria-label='Learn more about Apple Benefits (Opens in new window)'u003eLearn more about Apple Benefits.u003cspan class='icon icon-after icon-external' aria-hidden='true'u003eu003c/spanu003eu003c/au003eu003cbru003eu003cbru003eNote: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.u003cbru003e