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

In Sensing u0026 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 a Software Engineer on the Location u0026 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. Youll 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.

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.n

BS/MS in Computer Science Electrical Engineering or related fieldn6 years experience on client-side / platform-level development on Apple platformsnSwift and Objective-C; production-quality frameworks daemons or system APIsnSystems expertise: concurrency multithreading memory management performance tuningnCoreML or equivalent on-device ML inference experiencenStrong communication; operates well in ambiguityn

Real-time audio processing (capture pipelines buffering signal handling on iOS/macOS)nREST API / cloud service integrationnAudio feature extraction or classification pipelines for on-device MLnExperience training/fine-tuning ML models or collaborating with ML researchers to productionize themnDeep OS stack debugging (frameworks daemons services)nEnergy efficiency and resource constraint optimization on mobilenPrivacy-preserving sensing (on-device inference data minimization)nCloudKit or distributed data syncnPublic or internal API/SDK design and deliverynMentorship and technical direction track record