AIML Software Engineer, On-Device Audio Intelligence, Sensing & Connectivity
Tasks
- Build ML inference pipelines
- Debug OS stack components
- Design sensing frameworks and system services
- Develop audio context algorithms
- Integrate platform APIs for developer capabilities
- Optimize energy efficiency and resource usage
- Process real time audio signals
- Translate ML models into production systems
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Audio Feature Extraction | Audio Processing | Audio classification | Cloud Service | Cloud service integration | CloudKit | Concurrency | CoreLocation | CoreML | CoreMotion | Data minimization | Feature extraction | Machine Learning | Machine Learning Inference | Memory Management | Multithreading | Objective-C | On-device Inference | Performance Tuning | Privacy-preserving | Privacy-preserving machine learning | REST API | Real Time | Real-time Audio Processing | Real-time audio | SDK development | Service Integration | Swift
Education
Roles
Regions
Countries
States
Cities
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