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Optical Engineering AI and Data Analytics Intern

Meta· Hardware
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Sunnyvale, CAInternPosted 4d ago

About the role

12-week internship focused on accelerating upstream quality data flow for Meta's MR hardware by building automated data ingestion, AI-driven instrument calibration, and automated analytics for production test data.

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.

Qualifications

  • Currently pursuing a BS, MS, or PhD in Computer Science, Data Science, Statistics, Electrical Engineering, or a related field
  • Proficiency in Python or TypeScript/JavaScript, and comfort learning the other
  • Working knowledge of SQL and experience querying a relational or columnar data store
  • Foundation in statistics and data modeling: distributions, hypothesis testing, regression, and fitting and judging a model against held-out data
  • Experience building something other people used, such as a tool, pipeline, dashboard, model or library. Coursework counts if the artifact was real
  • Able to explain a technical result, and how confident you are in it, to someone who does not share your background
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  • Intent to return to full-time degree program after completion of the internship

Skills

Required:PythonTypeScript/JavaScriptSQLStatistics and data modeling
Last updated Oct 23, 2026. Interested? Apply on the company site.

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