Optical Engineering AI and Data Analytics Intern

About the job

We are the independent measurement engine for Meta's MR hardware. Every optical claim a headset makes — how sharp it looks, whether the colour is right, whether the two eyes fuse comfortably — is something our team measures and signs off on before the product ships. That measurement happens across roughly 80 instruments and factory stations spread over contract manufacturers in Asia, display vendors, and labs in Sunnyvale and Redmond. Those stations generate about 1.3 billion rows of test data, which flow through a pipeline we own and used across the org. The physics is interesting, but the bottleneck is not physics. It is data. Measurements that never reach the pipeline cannot be acted on, and today a large fraction of our upstream quality data never does. That is the problem this internship is pointed at. This is a 12 week internship.

Responsibilities

Upstream Data Ingestion: Build automated ingestion paths and pipeline schemas to integrate previously offline lab and bench measurement data. Tool Calibration AI Agent: Develop an AI agent and system of record to track instrument certification, trigger automated maintenance alerts, and coordinate service scheduling. Production Test Analytics: Implement automated analytics layers for measurement system analysis (Gauge R&R), station-to-station correlation, and drift detection across large-scale production test data.