Job Description
**Role Number:** 200635859-3956
**Summary**
The Video Engineering organization is at the forefront of developing innovative technologies for future Apple products, with a strong focus on biometric authentication. Our team has contributed to impactful projects such as FaceID for iOS and OpticID for Apple Vision Pro. We are currently looking for a talented ML Test & Automation Engineer to ensure the quality, reliability, and performance of Apple's machine learning based biometric systems that secure and enhance the lives of millions of users around the world.
**Description**
Video Engineering DAQ (Data Analytics and Quality) team is seeking a highly motivated and technically skilled ML Test & Automation Engineer to ensure the quality and reliability of FaceID through both manual on-device testing and automated testing infrastructure.
You will design end-to-end testing flows that cover model accuracy, edge case detection, and regression testing on actual device...
**Summary**
The Video Engineering organization is at the forefront of developing innovative technologies for future Apple products, with a strong focus on biometric authentication. Our team has contributed to impactful projects such as FaceID for iOS and OpticID for Apple Vision Pro. We are currently looking for a talented ML Test & Automation Engineer to ensure the quality, reliability, and performance of Apple's machine learning based biometric systems that secure and enhance the lives of millions of users around the world.
**Description**
Video Engineering DAQ (Data Analytics and Quality) team is seeking a highly motivated and technically skilled ML Test & Automation Engineer to ensure the quality and reliability of FaceID through both manual on-device testing and automated testing infrastructure.
You will design end-to-end testing flows that cover model accuracy, edge case detection, and regression testing on actual device...
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