Mobile — iOS Jobs in Computer Vision
Browse CV roles that require Mobile — iOS across all industries and experience levels.
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What is Mobile — iOS?
iOS deployment runs vision models on iPhone and iPad through Core ML and the Vision framework, using the CPU, GPU and Neural Engine. On-device inference keeps images private, works offline, and avoids per-request server cost.
Where Mobile — iOS is used
Consumer apps with camera features, ARKit experiences, fitness and movement analysis, and health applications where regulation or user expectation requires images to stay on the device.
Roles that ask for Mobile — iOS
- iOS Engineer, ML
- Mobile AI Engineer
- Computer Vision Engineer
- AR/VR Engineer
- Edge AI Engineer
Related skills & tools
Mobile — iOS jobs — common questions
What performance is realistic on iPhone?
Better than most people expect. The Neural Engine runs quantised detection and segmentation models at real-time frame rates, provided the model stays on it rather than falling back to CPU — which is where most optimisation effort goes.
What are the main deployment constraints?
App bundle size, thermal throttling during sustained inference, battery impact, and supporting a range of device generations with very different capabilities.
Do these roles need deep ML knowledge?
Usually a working level rather than research depth. The distinctive skill is the conversion and optimisation path from a trained model to a smooth on-device experience, which is as much iOS engineering as machine learning.