AI/ML Software Engineer - Intern

KLA•Ann Arbor, MI

9d•$24 - $32•Onsite

About The Position

KLA's IT group supports business growth and productivity by connecting people, process and technology around the world. We work to improve the technology that drives our business to thrive and focus on empowering employee use of technology. This integrated approach to customer service, creativity and technological excellence enhances employee productivity, business analytics and process excellence. In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise. We are seeking a motivated graduate intern with a strong interest in Machine Learning, Artificial Intelligence, and Data Science to join our technology team. In this role, you will support the development of applied AI solutions that address real business needs while gaining hands-on experience with enterprise-scale technology. The ideal candidate is curious, collaborative, and eager to apply technical skills to build scalable applications with measurable impact.

Requirements

Currently pursuing a Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.
Strong fundamentals in ML, data structures, algorithms, and software engineering.
Proficient in Python with working knowledge of AI/ML libraries.
Familiar with GenAI, LLMs, and RAG.
Basic exposure to cloud platforms and data engineering concepts.
Strong analytical, problem-solving, and communication skills.
Works well independently and on a team.

Nice To Haves

Hands-on GenAI work through projects, research, hackathons, internships, or open source.
Built with LLMs, RAG, prompt engineering, vector databases, orchestration frameworks, or agent workflows.
Familiar with data pipelines and downstream integrations.
Exposure to Python data tools, APIs, SQL/NoSQL, cloud services, or workflow automation.
Familiar with CI/CD and deployment automation.
Graduating within 12 months of internship completion.

Responsibilities

Ship real AI features — Python code that goes into existing applications and platforms
Build agentic systems — agent servers, prompt management, skill workflows, MCP tools, and RAG knowledge bases.
Benchmark the latest models — evaluate open-source and commercial LLMs and shape what we adopt.
Turn ideas into products — partner with engineering and business teams on proof-of-concepts that graduate into production.
Automate manual workflows — replace them with AI and document the playbooks.
Present your results — to technical leaders and business stakeholders.