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

Job description

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. 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