Lam Research

Compensation

Full Description

Lam Research is dedicated to excellence in the design and engineering of etch and deposition products for the semiconductor industry. They are seeking a Data Scientist Intern to join the Equipment Intelligence Team, focusing on developing analytics pipelines and machine learning models to enhance equipment performance and support data-driven product development. Responsibilities • Development of analytics pipelines and platforms leveraging big‑data and machine‑learning techniques to support a global installed base of wafer fabrication equipment • Creation and training of deep learning and machine learning models for equipment performance characterization, anomaly detection, predictive maintenance, and optimization • Integration of empirical learning methods with physics‑based or first‑principles models • Exploration, cleaning, and analysis of complex, high‑volume equipment datasets • Supporting model validation, deployment workflows, and documentation of findings • Collaborate with Hardware, Process, and Software engineering teams to define data requirements and guide data‑driven product development • Communicate insights, results, and visualizations to internal engineering teams and, when appropriate, global customers • Participate in experiment planning with engineering teams and support interpretation of experiment results • Contribute to improving internal tooling, workflows, and automation Skills • Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, Applied Physics, Materials Science, or a related quantitative field • Able to intern for at least 3 months preferrably 6-9 months if available • Strong analytical, quantitative, and problem‑solving skills • Ability to learn new tools, modeling techniques, and domain knowledge quickly • Ability to work independently on scoped tasks and collaborate effectively within multidisciplinary teams • Strong written and verbal communication skills • Coursework or project experience in machine learning, deep learning, statistical learning, or data mining • Experience building models using modern ML/DL frameworks (e.g., PyTorch, TensorFlow, JAX, Scikit‑learn) • Familiarity with distributed compute environments (cloud platforms, Spark, Ray, or HPC systems) • Experience with Python for data science (NumPy, Pandas, Matplotlib, etc.) • Experience working with large datasets, time‑series data, or sensor/telemetry data • Familiarity with experiment design, model validation, or data pipelines • Interest in semiconductor manufacturing, advanced equipment, or applied physics • Proficiency in Python or similar high‑level languages • Understanding of core ML/DL concepts and ability to implement models from examples or academic references • Comfort working with modern development tools (Git, notebooks, VS Code, containerization, etc.) • Ability to present complex quantitative concepts clearly and visually • Curiosity and willingness to learn in a highly multidisciplinary environment Benefits • Comprehensive set of outstanding benefits Company Overview • Lam Research supplies wafer fabrication equipment and services to the worldwide semiconductor industry. It was founded in 1980, and is headquartered in Fremont, California, USA, with a workforce of 10001+ employees. Its website is http://www.lamresearch.com. Company H1B Sponsorship • Lam Research has a track record of offering H1B sponsorships, with 242 in 2025, 239 in 2024, 170 in 2023, 216 in 2022, 242 in 2021, 182 in 2020. Please note that this does not guarantee sponsorship for this specific role.