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Machine Learning Research Engineer (Human Sensing), SIML - ISE
Apple
📍
Seattle, United States
Location
Seattle
Posted
June 01, 2026
Commute
Local Area
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Job Description
**Role Number:** 200634290-3337
**Summary**
The System Intelligence Machine Learning (SIML) organization is looking for Research Engineers with a strong foundation in Machine Learning and Computer Vision to develop the next generation of multi-modal Human Sensing technologies. You will be part of a fast-paced, impact-driven Applied Research organization building foundation models for facial and full-body perception, and working on cutting-edge machine learning that is at the heart of the most loved features on Apple platforms including Apple Intelligence, Camera, Photos, Visual Intelligence, etc. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day!
**Description**
As a Machine Learning Research Engineer, you will be responsible for designing and developing cutting-edge AI/ML models for Human Sensing, with a focus on building robust cross-domain identity recognition systems. Multi-modal Human Sensing is a foun...
**Summary**
The System Intelligence Machine Learning (SIML) organization is looking for Research Engineers with a strong foundation in Machine Learning and Computer Vision to develop the next generation of multi-modal Human Sensing technologies. You will be part of a fast-paced, impact-driven Applied Research organization building foundation models for facial and full-body perception, and working on cutting-edge machine learning that is at the heart of the most loved features on Apple platforms including Apple Intelligence, Camera, Photos, Visual Intelligence, etc. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day!
**Description**
As a Machine Learning Research Engineer, you will be responsible for designing and developing cutting-edge AI/ML models for Human Sensing, with a focus on building robust cross-domain identity recognition systems. Multi-modal Human Sensing is a foun...