On-Device Audio ML Engineer — Real-Time Sensing & Privacy

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 185,000 - 278,000; Full time

Job summary

Apple Inc. in Cupertino seeks an AIML Software Engineer for On-Device Audio Intelligence on the Sensing & Connectivity platform. You will design and build frameworks and system services that enable scalable on-device sensing and private, efficient inference across Apple devices.

You will collaborate with CoreLocation, CoreMotion, Audio Understanding, and AIML teams to translate research models into production pipelines, from real-time signal capture to high-level APIs surfaced to developers.

Qualifications

• BS/MS in CS, ECE, or related field.
• 6+ years of client-side/platform-level Apple development.
• Proficient in Swift and Objective-C with production-grade frameworks.
• Strong concurrency, multithreading, memory management, and performance tuning.
• Experience with CoreML or on-device ML inference.
• Excellent communication and ability to handle ambiguity.

Responsibilities

• Design and build frameworks and system services for on-device sensing at scale.
• Develop algorithms processing real-time signals to derive context.
• Collaborate with CoreLocation, CoreMotion, Audio Understanding, and AIML teams.
• Translate research models into production pipelines.
• Work on low-level signal capture to high-level APIs surfaced to developers.

Skills

Swift/Obj-C

Platform-level dev

Concurrency

Multithreading

Memory management

Performance tuning

CoreML

Communication

Ambiguity tolerance

Education

BS/MS in CS/EE

Tools

Swift

Objective-C

Job description

Apple Inc. in Cupertino seeks an AIML Software Engineer for On-Device Audio Intelligence on the Sensing & Connectivity platform. You will design and build frameworks and system services that enable scalable on-device sensing and private, efficient inference across Apple devices.

You will collaborate with CoreLocation, CoreMotion, Audio Understanding, and AIML teams to translate research models into production pipelines, from real-time signal capture to high-level APIs surfaced to developers.