Computer Science | Artificial intelligence internship: AI workflow optimization
ASML is hiring a Computer Science | Artificial intelligence internship: AI workflow optimization. Level rates it ; you can apply on ASML.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Databricks, N8n and Lovable.
- Level classifies it as an internship.
- Level lists 775 other open roles at ASML.
- The role was posted in the last few days.
AI in this role
Introduction
The TWINSCAN Factory (TF) OE Quality department drives quality excellence and continuous improvement within ASML’s manufacturing environment in Veldhoven. In this Business Analytics | Artificial Intelligence internship: workflow optimization, you will explore how artificial intelligence can help teams work more efficiently and make better-informed decisions. You will identify opportunities to improve recurring activities and business processes through practical AI applications. By developing and validating proof-of-concepts, you will contribute to measurable operational improvements.
Your assignment
During this internship, you will investigate how AI and data-driven approaches can support operational and quality-related processes. You will analyze workflows, engage with stakeholders, and identify opportunities where technology can create business value. You will critically evaluate potential solutions and translate improvement opportunities into practical proof-of-concepts. Your main responsibilities will be:
- Analyze recurring activities, workflows, and business processes
- Identify inefficiencies, bottlenecks, and opportunities for process improvement
- Research and evaluate suitable artificial intelligence and automation solutions
- Develop and validate proof-of-concepts using Python, data processing, and generative AI techniques
- Assess the feasibility, expected impact, and scalability of proposed improvements
- Present recommendations and insights to stakeholders in a clear and structured manner
- Support knowledge sharing and contribute to future AI initiatives within the department
This is a bachelor/master non-thesis internship for minimum 5 months, minimum 3 days per week (2 days on-site). The start date of this internship is as of February 2027.
Your profile
To be suitable for the internship, you:
- Are pursuing a bachelor's or master's degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
- Have experience with Python, data processing, and generative AI
- Are able to analyze processes and identify opportunities for improvement
- Demonstrate an independent, analytical, and proactive working style
- Communicate effectively in English and collaborate with stakeholders from different backgrounds
Experience with development environments, workflow automation, business intelligence, or data platforms is considered an advantage. This may include experience with tools such as Visual Studio Code (VS Code), Power BI, Power Automate, Power Query, Databricks, n8n, Lovable, or similar technologies. However, specific tool experience is not required.
If you are excited about combining technology, process improvement, and business impact, this could be the right opportunity for you. Through this internship you will gain hands-on experience with AI applications, stakeholder engagement, workflow optimization, and operational excellence. You will help shape practical solutions that create measurable value while contributing to continuous improvement within ASML.
Other requirements you need to meet:
- You are enrolled at an educational institute for the entire duration of the internship, and you are at least 18 years old at the start of the internship;
- If you are a non-EU citizen, studying in the Netherlands, your university is willing to sign the documents relevant for doing an internship (i.e., Nuffic agreement);
- You attach your cover letter with a clear motivation on why you are interested in this internship assignment in particular;
- You need to be located in the Netherlands to be perform your internship. In case you are currently living/studying outside of the Netherlands, your application shows the willingness to relocate.
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.
Do you want to know more about the internship allowance, visa support and applying for an internship at ASML? Read this page.
How we rate this
Computer Science | Artificial intelligence internship: AI workflow optimization at ASML rates 5 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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
Questions you could be asked
- What's a project where you used Databricks hands-on?
- Walk me through how you've used N8n in your day-to-day work.
- What are the limits of Lovable that you've run into, and how did you work around them?
Adapt your resume
- List these exact terms on your resume: Databricks, N8n, and Lovable. 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.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new AI jobs by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Other roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step