Intern - SMAI TD AI Engineering Team
Listed on 2026-10-08
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The Smart Manufacturing & AI (SMAI) organization develops AI-enabled solutions that drive business value, operational efficiency, and innovation across Micron. By combining software engineering, artificial intelligence, automation, and data-driven decision-making, the team delivers scalable technologies that improve productivity and accelerate digital transformation throughout the enterprise.
As an AI Engineering Intern, you will design, develop, and support AI-enabled software solutions that address real-world business challenges across Micron. You will work on full stack applications, AI agents, LLM integrations, and modern software systems while gaining hands‑on experience with production‑grade AI technologies, cloud-native architectures, and AI‑assisted software development practices.
Responsibilities- Design, develop, test, and support AI-enabled software applications using modern programming languages, web technologies, databases, APIs, and cloud-based architectures.
- Build and integrate AI capabilities such as large language models (LLMs), AI agents, retrieval systems, and intelligent automation solutions into enterprise applications.
- Collaborate with engineers, product owners, and business stakeholders to translate business requirements into scalable technical solutions.
- Utilize AI-assisted development tools, automation frameworks, and modern engineering practices to improve software quality, productivity, and delivery efficiency.
- Research, evaluate, and prototype emerging AI technologies while contributing to software documentation, testing, continuous improvement, and operational excellence initiatives.
- 0-2 years of relevant experience through internships, research projects, coursework, academic projects, hackathons, or software development experience in artificial intelligence, software engineering, data science, or related technical fields.
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, or a related technical field.
- Expected graduation date of September 2027 or later.
- Strong understanding of software engineering fundamentals, data structures, algorithms, and object-oriented programming concepts.
- Experience with at least one programming language such as Python, C#, JavaScript, Type Script, Java, or similar technologies.
- Familiarity with relational and/or No
SQL database technologies. - Understanding of software architecture principles and modern application development practices.
- Strong analytical, troubleshooting, and problem-solving skills.
- Ability to work effectively in a collaborative, team-oriented environment.
- Demonstrated experience using AI-enabled tools and large language models (LLMs) such as Copilot, ChatGPT, Claude, Gemini, or similar technologies to improve productivity, software development, learning, and problem-solving.
- Knowledge of large language models (LLMs), AI agents, generative AI, and modern AI application architectures.
- Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, embeddings, Model Context Protocol (MCP), and agentic workflows.
- Basic understanding of machine learning concepts, including model training, inference, supervised learning, and unsupervised learning.
- Experience with AI-assisted software development tools, coding assistants, or intelligent automation technologies.
- Experie…
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