Role overview
Your Job
We are seeking a highly motivated AI / Machine Learning Engineer Intern to support data analysis and machine learning initiatives for optical system development in Fremont, CA. This internship provides hands-on experience applying data-driven techniques to real-world optical products, including optical switching systems and OTDR modules.
The intern will work under the guidance of senior engineers and managers and collaborate with multi-disciplinary engineering teams to analyze experimental data and develop machine learning-based tools and algorithms.
What you'll work on
- Assist in developing data processing and machine learning workflows for optical system test and characterization data
- Analyze image and signal data to support pattern recognition, anomaly detection, and failure analysis
- Support calibration and test optimization efforts through data-driven analysis
- Prototype and evaluate machine learning models for optical system monitoring and event detection
- Document analysis methods, results, and tools following internal engineering practices
- Work closely with optical, system, and test engineers to understand system behavior and translate engineering problems into data analysis tasks
What we're looking for
- Currently pursuing a Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Data Science, or a related technical discipline
- Solid understanding of machine learning and data analysis concepts
- Strong programming skills in Python
- Ability to work with large experimental data and draw meaningful conclusions
- Strong analytical thinking, curiosity, and problem-solving skills
- Self-motivated, proactive, and enthusiastic about contributing in a collaborative R&D environment
Tags & focus areas
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