Predictive Data Analytics Intern - Summer 2026 - Winter 2026 (6 months)

Summary: Lam Research is dedicated to excellence in the design and engineering of etch and deposition products for the semiconductor industry. They are seeking a Predictive Data Analytics Intern to develop advanced models and algorithms for predictive maintenance and process optimization, utilizing data science and machine learning techniques to analyze sensor data and forecast equipment performance. 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: Machine Learning / AI, Signal Processing, Programming Important Skills: Domain Knowledge Nice-to-Have Skills: Analytical Skills, IoT Sensor Networks, Time-Series Analysis, Cloud-Based Analytics, Reliability Engineering, Data Pipelines, Problem-Solving Skills Internship Start Date: Start in 2026 Summer Benefits: A comprehensive set of outstanding benefits