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HomeKit Machine Learning Engineer
Summary by AIEngineer.careers
HomeKit Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Apple. in SAN FRANCISCO, US. Imported listing (source: localjobs.com). Apply on the employer's site (localjobs.com).
Imported listing (source: localjobs.com) · Apply on localjobs.com
SAN FRANCISCO · US
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from localjobs.com
Apple is seeking a Machine Learning Engineer to drive intelligence for the HomeKit platform. The role focuses on applied machine learning for computer vision, covering the full production pipeline from dataset generation and model training to on-device inference optimization. Candidates will collaborate closely with cross-functional teams to deploy scalable AI solutions directly onto consumer devices.
Responsibilities
- Develop and train computer vision models for HomeKit platform intelligence
- Build and maintain end-to-end ML production pipelines
- Optimize models for efficient on-device inference
- Create and curate high-quality datasets for model training
Requirements
- Strong background in machine learning and computer vision
- Experience with end-to-end model development and deployment
- Proficiency in optimizing models for resource-constrained environments
- Solid programming skills in Python and C++
Nice to Have
- Experience with iOS/HomeKit ecosystem
- Familiarity with edge AI frameworks like Core ML or TFLite
- Background in sensor fusion or spatial computing
Apple
Cupertino · US · 170444+ employees
Apple is a multinational technology company that designs, develops, and sells consumer electronics, computer software, and online services. Key products include the iPhone, Mac, iPad, and various wearable devices, alongside services like the App Store and iCloud.
