Applied AI Intern - Summer 2026
About The Position
The group you’ll be a part of The AI Hub within Global Information Systems (GIS) is a centralized, high impact group responsible for developing, scaling, and evangelizing AI capabilities across Lam Research. The team partners closely with product managers, engineering teams, business units to deliver AI-enabled solutions that drive measurable business value and accelerate Lam’s digital transformation. We are seeking a candidate who can start in May 2026 and are available for a 12 week long internship. The impact you’ll make In this role, you’ll engage in solving complex business problems using AI/GenAI as an enabler. Your contributions will directly influence the development of Lam’s AI Hub platform. This internship offers a rare opportunity to work with cutting-edge GenAI technologies at an enterprise scale. You will gain hands-on exposure to enterprise-scale GenAI orchestration, retrieval systems, and platform UI/UX. By the end of the internship, you will have: Delivered a working prototype or platform enhancement in AI Hub, contributed to a RAG or orchestration workflow used by internal teams & documented technical findings and presented outcomes to stakeholders.
Requirements
- Currently enrolled MS or PhD students in Computer Science, Engineering, Statistics, or related fields, with a strong academic record.
- Strong understanding of machine learning concepts and algorithms, including deep learning, transformer‑based systems, embedding models, vector databases, etc.
- Hands-on experience or academic/project exposure to GenAI orchestration frameworks (e.g., LangChain, LangGraph) and AI agent communication concepts (e.g., MCP).
Nice To Haves
- Experience fine-tuning language models such as GPT or BERT
- Experience developing in cloud platforms, like Azure and/or Databricks.
- Knowledge of distributed computing frameworks, such as Apache Spark.
- Familiarity with data engineering concepts and practices.
- Strong communication skills for effective collaboration across teams
- Ability to work independently in a dynamic, fast-paced environment
Responsibilities
- Collaborate with the AI Hub data science team to design and implement specific components of the AI Hub platform.
- Assist in data collection, cleaning, and preprocessing tasks to improve Retrieval Augmented Generation (RAG) and function/tool calling processes in support of complex Generative AI projects.
- Run a scoped pilot to fine-tune foundation models using curated, compliant datasets, evaluate performance against defined metrics, and integrate learnings into AI Hub’s platform workflows.
- Contribute to UI/UX redesign of the AI Hub platform and suggest specific UI changes to existing AI products to enhance usability and visualization of orchestration workflows.
- Document and communicate findings, insights, and recommendations to stakeholders.
Benefits
- At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.
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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
