This role focuses on the technical alignment of tools and APIs for execution, debugging, and profiling models on-device. The engineer will provide technical guidance across the ML Execution stack, ensuring that infrastructure, tooling, and APIs for model compilation, performance analysis, and inference execution support all client needs. Responsibilities include designing, building, and maintaining critical infrastructure for on-device machine learning features, identifying solutions to developer pain points, ensuring scalability and reliability of Core ML, and collaborating with cross-functional partners on technical roadmaps.
Must Have:- Design and build infrastructure for on-device machine learning features.
- Identify and implement solutions for developer pain points and feedback.
- Ensure scalability, reliability, and maintainability of Core ML.