Predictive Data Analytics Intern - Summer 2026

In the Global Products Group, we are dedicated to excellence in the design and engineering ofLam's etch and deposition products. We drive innovation to ensure our cutting-edge solutionsare helping to solve the biggest challenges in the semiconductor industry.

We are seeking a Predictive Data Analytics Internto develop advanced models and algorithms for predictive maintenance and process optimization. This role combines expertise in data science, machine learning, and engineering principlesto analyze sensor and flow data, detect anomalies, and forecast equipment performance in complex industrial systems.

• Design and implement predictive maintenance models using sensor and flow data.
• Apply signal processing techniquesfor data filtering, feature extraction, and noise reduction.
• Develop and validate machine learning algorithmsfor 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.

• Field of Study:
• Current Masters or PhD students studyingData Science, Applied Statistics, or Mechanical Engineeringwith strong machine learning experience.
• Technical Skills:
• 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.

• 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 pipelinesand model deploymentin production environments.
• Available to intern for 4-6 months starting Summer 2026.

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

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