ASMLInternship-Co-Op: AI Engineer
ASML is hiring an Internship-Co-Op: AI Engineer in San Diego, United States. Level rates it ; you can apply on ASML.
Level's read on this job
- On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
- The posting mentions OpenAI, Mistral and LangChain among its tools and skills.
- Level classes it as an internship.
- ASML has 775 other open roles on Level.
- Posted in the last few days.
AI in this role
Location: San Diego, CA (Hybrid)
Organization: ASML - IT & Data / Chief Data Office (CDO US)
Team: AI Foundation & Platform
About the Team
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 that allow teams across engineering, manufacturing, service, and operations to safely deploy AI at scale. The team works on real-world AI solutions that accelerate engineering decisions, improve operational efficiency, and support next-generation semiconductor technologies.
What You Will Do
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 that support ASML's business and technology objectives.
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 that improve transparency, reliability, and compliance.
- 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.
Desired 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.
- Exposure to Azure AI, Azure ML, Databricks, LangChain, Semantic Kernel, OpenAI, Mistral, or similar technologies is a plus.
- 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.
Cultural Fit
We are looking for students who:
- Have a strong learning mindset and intellectual curiosity.
- Enjoy tackling difficult technical problems.
- Balance innovation with responsible engineering.
- Simplify complex problems rather than adding complexity.
- Thrive in collaborative, highly technical environments.
- Are excited about the application of AI in semiconductor technology, engineering, and advanced manufacturing
Inclusion and diversity
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.
Need to know more about applying for a job at ASML? Read our frequently asked questions.
How we rate this
Internship-Co-Op: AI Engineer at ASML rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $185k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- What are the limits of OpenAI that you've run into, and how did you work around them?
- What's a project where you used Mistral hands-on?
- Walk me through how you've used LangChain in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, ML Ops, OpenAI, Mistral, and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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