Job Description
**Weekly Hours:** 40
**Role Number:** 200618208-0836
**Summary**
The Sensing and Connectivity team is committed to developing innovative technology that enhances user safety and makes our devices more intelligent. We are exploring how the incredible sensing, processing, and connectivity of iPhone can be leveraged to detect nearby hazards and deliver timely alerts. We are seeking a Machine Learning Engineer to own the design, deployment, and operation of ML models that run across heterogeneous mobile and edge devices. In this role, you will build production ML systems end-to-end including feature design, training, on-device inference, monitoring, and continuous improvement based on real-world telemetry.
**Description**
As a Machine Learning Engineer on the crowdsourced sensing team, you will develop, deploy, and maintain machine-learning models that operate reliably in noisy, real-world environments and at global scale.
**Minimum Qualifications**
**Role Number:** 200618208-0836
**Summary**
The Sensing and Connectivity team is committed to developing innovative technology that enhances user safety and makes our devices more intelligent. We are exploring how the incredible sensing, processing, and connectivity of iPhone can be leveraged to detect nearby hazards and deliver timely alerts. We are seeking a Machine Learning Engineer to own the design, deployment, and operation of ML models that run across heterogeneous mobile and edge devices. In this role, you will build production ML systems end-to-end including feature design, training, on-device inference, monitoring, and continuous improvement based on real-world telemetry.
**Description**
As a Machine Learning Engineer on the crowdsourced sensing team, you will develop, deploy, and maintain machine-learning models that operate reliably in noisy, real-world environments and at global scale.
**Minimum Qualifications**
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