Optical Engineering AI and Data Analytics Intern

What you'll do

• Integrate offline lab and bench measurements into automated data pipelines.
• Develop an AI agent and system of record for instrument certification, maintenance alerts, and service scheduling.
• Build analytics for Gauge R&R, station correlation, and drift detection across production test data.

What they ask for

• 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, including distributions, hypothesis testing, regression, and evaluating models against held-out data.
• Must obtain and maintain work authorization in the country of employment; intends to return to a full-time degree program after the internship.

Nice to have

• Experience with predictive modeling, time-series analysis, statistical process control, data pipelines, full-stack data products, LLMs, or data-product testing.
• Exposure to manufacturing, test, or instrumentation data; interest in optics or imaging is useful but not required.

Tools

Python, TypeScript/JavaScript, SQL, Spark, Presto, Hive, React / Next.js, REST or GraphQL

AI focus

Develop an AI agent for instrument certification tracking, automated maintenance alerts, and service scheduling; LLM-building experience is listed as preferred.