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

Socket.dev; Cupertino (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Apple is seeking a Software Engineer on the Location & Motion team to design and build platform-level daemons, frameworks, and ML inference pipelines that interpret the environment efficiently and privately. You will work with CoreLocation, CoreMotion, Audio Understanding, and AIML colleagues to productionize sensing capabilities across Apple platforms.

The ideal candidate has 6+ years in client-side/platform development on Apple platforms and strong skills in Swift/Objective-C, concurrency, and

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.

Responsibilities

• Design and build platform-level daemons, frameworks, and ML pipelines.
• Translate models into production systems on Apple platforms.
• Collaborate with ML researchers and cross-functional teams.
• Develop efficient, private on-device sensing capabilities.

Skills

Strong communication

Ambiguity tolerance

On-device sensing concepts

Education

BS/MS in Computer Science, Electrical Engineering, or related field

Tools

Swift

Objective-C

Production-quality frameworks

Daemons & system APIs

Concurrency & multithreading

Memory management

Performance tuning

CoreML on-device ML

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.

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 field6+ years experience on client-side / platform-level development on Apple platformsSwift and Objective-C; production-quality frameworks, daemons, or system APIsSystems expertise: concurrency, multithreading, memory management, performance tuningCoreML or equivalent on-device ML inference experienceStrong communication; operates well in ambiguity

Preferred Qualifications

Real-time audio processing (capture pipelines, buffering, signal handling on iOS/macOS)REST API / cloud service integrationAudio feature extraction or classification pipelines for on-device MLExperience training/fine-tuning ML models or collaborating with ML researchers to productionize themDeep OS stack debugging (frameworks, daemons, services)Energy efficiency and resource constraint optimization on mobilePrivacy-preserving sensing (on-device inference, data minimization)CloudKit or distributed data syncPublic or internal API/SDK design and deliveryMentorship and technical direction track record