at Apple
Location
Cupertino, United States of America
Compensation
$185k–$278k USD
Type
full time
Posted
2 weeks ago
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $278k · in the market band
Posting health
Aging · 70Tailor your résumé to this role in 30 seconds.
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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.
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
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
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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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