Thermal Engineering R&D Intern

Description:

We are seeking a motivated engineering intern to support the development of an AI/ML-driven system for thermal monitoring, prediction, and anomaly detection during semi-conductor tests. The intern will focus primarily on machine learning model development and evaluation, data analysis, model experimentation, and software implementation , working with thermal system telemetry data to identify optimal modeling approaches.

Responsibilities

• Model Development & Prototyping: Research, develop, and test ML models (Regression, Time-Series, Anomaly Detection) using Python frameworks like TensorFlow, PyTorch, or Scikit-learn to improve thermal monitoring and prediction.
• Data Engineering & Pipeline Support: Build and automate data pipelines, including preprocessing, feature engineering, and labeling of thermal telemetry data for model tr...