Business Operations Intern 1 (AI/Computer Science/Software Engineering/Data Analytics)

The group you’ll be a part of

The Global Customer Operations Group brings industry insights and experience to help our customers deliver on their technology roadmaps. We work tirelessly to earn the trust of our customers, because we know that working closely together leads to the highest quality outcomes.

The impact you’ll make

This position provides general administrative, AI and analytical support to the Global / Regional Business Operations team.

What you’ll do

• Support the development of AI-enabled solutions using Microsoft Studio, Microsoft Copilot, Power Platform, Power BI, Python and low-code/no-code platforms.
• Assist in developing prototypes, automations, dashboards and AI agents to improve operational efficiency.
• Evaluate emerging AI technologies and identify opportunities for business applications.
• Ensure reliability, consistency and quality of all data management and reporting deliverables.
• Any other general administrative duties as assigned by the Immediate Supervisor.

Who we’re looking for

• Currently pursuing Bachelor’s degree in Artificial Intelligence, Computer Science, Software Engineering, Data Science, Business Analytics and Information Systems
• Knowledge of Generative AI technologies and Large Language Models (LLMs)
• Familiarity with Microsoft Copilot, Power Platform, Power BI or similar AI tools
• Basic programming knowledge in Python, JavaScript, or related languages
• Strong analytical and problem-solving skills
• Experience with data analysis and visualization
• Excellent communication and presentation skills
• Ability to work independently in a fast-paced environment
• Passion for AI and automation
• 6-months internship

Our commitment

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.