AI/ML 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 move atoms that move the world.

At Lam Research, we create equipment that allows chipmakers to build device features more than 1,000 times smaller than a grain of sand. This tiny scale has a huge impact. Virtually every leading-edge chip inside the electronic products you use every day (TVs, smartphones, laptops, cars, even medical devices) has been made using our equipment.

As one of the world's most trusted suppliers in the semiconductor equipment industry, we're transforming technology. Our equipment places atoms so precisely that nearly every chip today is made using our innovations.

To build a prosperous career, start with an atom.

Should you choose to walk the path historically driven by Moore's law, your primary job function will involvecutting edge R&D activities in the Semiconductor Equipment Industry. If solving challenges no one has faced before or attempted are of interest to you, then Lam Research is the company for you.

• Collaborate with the modeling team to develop and implement machine learning models and algorithms.
• Assist in the design, development, and optimization of AI/ML solutions for various applications.
• Conduct data analysis, preprocessing, and feature engineering to support model development.
• Write and maintain high-quality code for AI/ML projects, ensuring efficiency and scalability.
• Apply knowledge of computational solid mechanics or CFD to enhance AI/ML models and simulations.
• Participate in research and development activities to explore new AI/ML techniques and methodologies.
• Document project progress, methodologies, and results for internal and external reporting.

• STEM education: Pursuing a BS or MS degree in Computer Science, Engineering, Applied Mathematics, or a related field.
• Experience working with and modifying/extending large codebases written by others.
• Strong experience in AI/ML, including knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in programming languages such as Python and Java.
• Solid understanding of data structures and algorithms.
• Supportive knowledge in computational solid mechanics or CFD is highly desirable.
• Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib).
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong communication skills and the ability to present technical information clearly.
• Ability to work full-time during summer.

• Experience with high-performance computing (HPC) and parallel processing.
• Familiarity with cloud computing platforms (e.g., Azure).
• Knowledge of version control systems (e.g., git) and collaborative development workflows.
• Deep understanding of transport phenomena and the underlying mathematical principles
• Experience with object-oriented programming
• Solid understanding of statistical modeling/ data mining/active learning

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.