Lam Research · 1 hour ago
Data Scientist Intern - Equipment Intelligence - Summer/Fall 2026
Tualatin, OR
Internship
Hybrid
Intern
Start in 2026 SummerLam 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.
CleanTechManufacturingSemiconductor
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
Qualification
Required
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
Preferred
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
Lam Research
Lam Research supplies wafer fabrication equipment and services to the worldwide semiconductor industry.
Founded in 1980
10001+ employees
H1B Sponsorship
Lam Research has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (242)
2024 (239)
2023 (170)
2022 (216)
2021 (242)
2020 (182)
Funding
Current Stage
Public CompanyTotal Funding
unknown1984-05-11IPO
Leadership Team
Tim Archer
President and CEO
Rick Gottscho
Exec VP and CTO
Recent News
Benzinga.com
2026-01-16
2026-01-16
Morningstar.com
2026-01-09
Company data provided by crunchbase