AIML Software Engineer, On-Device Audio Intelligence, Sensing & Connectivity

Summary

In Sensing & Connectivity, we use on-device sensors and wireless technologies to understand user context — combining sensor data with machine learning to create intelligent, ambient experiences across Apple platforms.
As a Software Engineer on the Location & Motion team, you will design and build the frameworks and system services that enable on-device sensing at scale. You will create algorithms that process real-time signals, extract meaningful context, and deliver those insights to users through platform-level frameworks and integrations with Apple Intelligence. You'll work closely with CoreLocation, CoreMotion, Audio Understanding, and AIML colleagues to tackle open-ended, research-like problems — prototyping novel sensing capabilities and bringing them to production on Apple platforms.

Description

This role is for the platform-level work: daemons, frameworks, and ML inference pipelines beneath the UI layer, continuously interpreting the environment efficiently, privately, and deeply integrated with the OS. You will collaborate with ML researchers to translate models into production systems. Problems span low-level signal capture to high-level context modeling to APIs surfacing capabilities to developers and features across Apple platforms.

Minimum Qualifications

BS/MS in Computer Science, Electrical Engineering, or related field
6+ years experience on client-side / platform-level development on Apple platforms
Swift and Objective-C; production-quality frameworks, daemons, or system APIs
Systems expertise: concurrency, multithreading, memory management, performance tuning
CoreML or equivalent on-device ML inference experience
Strong communication; operates well in ambiguity

Preferred Qualifications

Real-time audio processing (capture pipelines, buffering, signal handling on iOS/macOS)
REST API / cloud service integration
Audio feature extraction or classification pipelines for on-device ML
Experience training/fine-tuning ML models or collaborating with ML researchers to productionize them
Deep OS stack debugging (frameworks, daemons, services)
Energy efficiency and resource constraint optimization on mobile
Privacy-preserving sensing (on-device inference, data minimization)
CloudKit or distributed data sync
Public or internal API/SDK design and delivery
Mentorship and technical direction track record

Pay & Benefits — Cupertino, California, United States

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 $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple 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. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.