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Apple Machine Learning Engineer On-Device ML - Apple Ads United States, California, Cupertino 153149211
Today
- Design, develop, and optimize on-device machine learning models for learning user preferences within the App Store ecosystem. - Implement, benchmark, and fine-tune deep learning models for efficiency, latency, and power consumption on iOS devices. - Optimize models for various iOS devices, ensuring performance across different generations and hardware capabilities. - Develop tools and techniques for model compression, quantization, pruning, and hardware acceleration to enable real-time inference.
- 3+ years in ML engineering with a focus on on-device/mobile ML, preferably iOS.
- Strong proficiency in Swift, Objective-C, and Python.
- Experience with Core ML, Metal, TensorFlow Lite, PyTorch Mobile, or similar frameworks.
- Knowledge of model quantization, pruning, knowledge distillation, and hardware acceleration (e.g., Neural Engine, GPU optimizations).
- Familiarity with iOS development tools, Xcode, and app deployment processes.
- Experience or familiarity with Private Federated Learning and Differential Privacy is a strong plus.
- On-Device Personalization: Experience with learning user preferences without data leaving the device is highly desirable.
- Ability to troubleshoot and debug performance bottlenecks in ML models and iOS applications.
- Hands-on experience with Private Federated Learning and Differential Privacy.
- Experience with Apple Neural Engine optimizations.
- Background in embedded systems or edge computing.
- Knowledge of real-time inference in resource-constrained environments.
- Experience building personalization models that adapt on-device without cloud interaction.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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