About the role#
This team acts as the measurement engine for Meta MR hardware. We verify every optical claim a headset makes, from display sharpness to color accuracy, before a product ships. Our infrastructure spans roughly 80 instruments and factory stations. These stations generate over 1 billion rows of test data. Currently, a significant portion of upstream quality data does not reach our pipeline, which limits our ability to act on it. This 12-week internship focuses on solving these data bottlenecks.
What you'll do#
- Build automated ingestion paths and pipeline schemas to integrate offline lab and bench measurement data.
- Develop an AI agent and system of record to track instrument certification, trigger maintenance alerts, and coordinate service scheduling.
- Implement automated analytics layers for measurement system analysis, station-to-station correlation, and drift detection across production test data.
What you'll need#
- 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.
- Working knowledge of SQL and experience querying relational or columnar data stores.
- A foundation in statistics and data modeling, including distributions, hypothesis testing, regression, and model validation.
- Experience building a tool, pipeline, dashboard, model, or library that others have used.
- Ability to explain technical results and confidence levels to people outside your field.
- Intent to return to your full-time degree program after the internship.
- Work authorization in the country of employment at the time of hire and throughout the internship.
Additional skills that are helpful include:
- Experience with predictive modeling, time-series analysis, and anomaly detection.
- Knowledge of statistical process control, such as Cpk, control charts, and Gauge R&R.
- Experience with data warehousing, distributed processing like Spark or Presto, and ETL orchestration.
- Full-stack web development skills using React, Next.js, and server-side APIs.
- Experience building with LLMs, including agents, tool use, or retrieval systems.
- Familiarity with manufacturing, test, or instrumentation data.
- An interest in optics or imaging.
Location & details#
- Location: Sunnyvale, California.
- Modality: On-site.
- Duration: 12 weeks.
- Employment: Full-time internship.
About Meta
Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.
How to get in at Meta
Landing an internship at Meta requires a proactive approach to the application process. Intern Insider sends an instant alert the moment a role matching your target is published, allowing you to apply among the first. Early applicants often have their materials reviewed before the applicant pool grows significantly. You can use Intern Insider to surface the recruiters behind specific roles at Meta. Reaching out directly to these individuals to ask about the position or a referral often improves your response rates compared to applying into a queue.
