Machine Learning Engineer, On-Device ML - Apple Ads

- 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. - Work with Core ML, Metal, and other Apple ML frameworks to deploy models efficiently and securely. - Ensure all ML computations remain on-device, preserving user privacy while maintaining model effectiveness. - Develop and apply Private Federated Learning and Differential Privacy techniques to ensure user data never leaves the device while enabling personalized experiences. - 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. - Stay updated with the latest developments in privacy-preserving AI, on-device learning, and Apple ML advancements.