Predictive Data Analytics Intern - Summer 2026

Lam Research • Tualatin, OR

1h

About The Position

In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry. We are seeking a Predictive Data Analytics Intern to develop advanced models and algorithms for predictive maintenance and process optimization. This role combines expertise in data science, machine learning, and engineering principles to analyze sensor and flow data, detect anomalies, and forecast equipment performance in complex industrial systems.

Requirements

• Current Masters or PhD students studying Data Science, Applied Statistics, or Mechanical Engineering with strong machine learning experience.
• Signal Processing (sensor data filtering, feature extraction)
• Machine Learning / AI (predictive models, anomaly detection)
• Domain Knowledge (flow dynamics, thermofluid systems)
• Programming (Python, R for modeling and visualization)
• Strong analytical and problem-solving skills.
• Experience with industrial data sets and predictive maintenance applications is a plus.

Nice To Haves

• Familiarity with IoT sensor networks, time-series analysis, and cloud-based analytics platforms.
• Knowledge of reliability engineering principles and failure mode analysis.
• Hands-on experience with data pipelines and model deployment in production environments.
• Available to intern for 4-6 months starting Summer 2026.

Responsibilities

• Design and implement predictive maintenance models using sensor and flow data.
• Apply signal processing techniques for data filtering, feature extraction, and noise reduction.
• Develop and validate machine learning algorithms for anomaly detection and failure prediction.
• Collaborate with engineering teams to integrate predictive analytics into process control systems.
• Perform data visualization and reporting using Python, R, and relevant analytics tools.
• Ensure model accuracy through continuous monitoring and iterative improvement.
• Work with cross-functional teams to translate insights into actionable maintenance strategies.

Benefits

• At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees