Internship-Co-Op, AI Engineer
ASML
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree or Master's degree
- Must know
- LLMsStakeholder managementAgileOnboardingPythonGit
- Nice to have
- AzureMachine learningSpark
- Work
- On-site in San Diego · internship
- Pay
- Not stated by the employer.
- Skill demand
- Stakeholder management18%Onboarding7%LLMs2%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 9, 2026 · still open
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About the Role
Co-Op: AI Engineer (College Student)
Team
ASML - IT & Data / Chief Data Office (CDO US) - AI Foundation & Platform
The CDO US AI Foundation & Platform team enables AI innovation across ASML by building reusable AI platforms, agentic solutions, scientific AI capabilities, and governance frameworks. The team works on real-world AI solutions that accelerate engineering decisions, improve operational efficiency, and support next-generation semiconductor technologies.
Key Responsibilities
As an AI Engineer Co-Op, you will work alongside experienced AI architects, AI engineers, and platform engineers to design, develop, and operationalize AI solutions. Responsibilities include:
- Build and enhance AI-powered applications using modern LLMs, agent frameworks, and AI orchestration capabilities.
- Develop and test prompts, AI workflows, RAG solutions, and agentic AI systems.
- Assist in deploying secure and governed AI solutions on enterprise-approved platforms.
- Contribute to MLOps and AI governance capabilities.
- Support evaluation frameworks, scorecards, benchmarking, and AI quality measurement processes.
- Collaborate with business stakeholders to translate ideas into working AI prototypes and production solutions.
- Participate in code reviews, technical design sessions, and agile delivery ceremonies.
- Contribute technical documentation, onboarding materials, and engineering best practices.
Requirements & Tech Stack
- Python
- Git, software development practices, and cloud technologies.
- Exposure to Azure AI, Azure ML, Databricks, LangChain, Semantic Kernel, OpenAI, Mistral, or similar technologies is a plus.
Qualifications
- Pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline.
- Experience with Python.
- Familiarity with machine learning, LLMs, GenAI, or agent-based systems.
- Experience with Git, software development practices, and cloud technologies.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
What Success Looks Like
By the end of the co-op, you will have:
- Built production-relevant AI capabilities used by engineering or business teams.
- Contributed to enterprise AI governance and MLOps practices.
- Delivered reusable components that can scale across multiple AI initiatives.
- Demonstrated the ability to move from experimentation to operational deployment.