Sunnyvale, California
Optical Engineering AI and Data Analytics Intern
Job details
- Location
- Sunnyvale, California
- Work type
- Onsite
- Posted
- 1 week ago
- Apply on
- metacareers.com
About this role
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.
Minimum 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
Preferred Qualifications
- Predictive modeling and time-series analysis: forecasting, trend and change-point detection, anomaly or drift detection, and back-testing a model before trusting it
- Statistical process control and measurement systems analysis: Cpk, control charts, Gauge R&R, station-to-station correlation
- Data modeling and pipelines: designing warehouse schemas, and distributed processing (Spark, Presto, Hive or equivalent) with ETL / pipeline orchestration
- Full-stack web development for data products: React / Next.js with TypeScript, server-side APIs (REST or GraphQL), and scheduled jobs
- Building with LLMs: agents, tool use, retrieval, or evaluation
- Testing and validating data products: automated checks that the numbers shown match the source data, and catching silent regressions
- Exposure to manufacturing, test, or instrumentation data and its usual problems: inconsistent station naming, missing metadata, silent schema drift
- An interest in optics or imaging. Useful, but genuinely not required
Compensation
- $error/year - $error/year; Country: US; We apologize for the inconvenience, please be patient as we work to correct the issue.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
California Notice
For those who live in or expect to work from California if hired for this position, please click here for additional information.
Equal Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Accommodations
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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