Optical Engineering AI and Data Analytics Intern
MetaAdded 1h ago
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Quick summaryby newgrad.ai
What you'll do
- Manage and improve data pipelines for optical measurement systems.
- Analyze large datasets from factory stations and hardware labs.
- Address bottlenecks preventing upstream quality data from reaching the pipeline.
What they're looking for
- Ability to work a 12-week internship program.
- Interest in data analytics and optical hardware measurement.
- Skills to process high-volume test data from global manufacturing sites.
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.
From Meta's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
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