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ASML

Artificial Intelligence | Computer Science internship: AI-Driven Cloud Cost Intelligence

ASML is hiring an Artificial Intelligence | Computer Science internship: AI-Driven Cloud Cost Intelligence for a remote role open to applicants in Netherlands. Level rates it ; you can apply on Level.

AI in this role

Develop AI-driven prototypes and intelligent workflows for cloud cost visibility, forecasting, and optimization as an intern at ASML.

pythonjavajavascript
ai-agentsartificial-intelligencemachine-learningcloud-computingfinops

Introduction

The Virtual Computing Platform team in Veldhoven develops and operates cloud-based platforms that support software development, testing, and qualification activities across ASML. As cloud adoption continues to grow, understanding and managing cloud expenditure becomes increasingly important. Cloud spending is often distributed across multiple teams, applications, and environments, making it challenging to identify optimization opportunities and gain clear cost insights.

During this internship, you will explore how Artificial Intelligence can improve cloud cost visibility, optimization, and decision-making. You will work on practical AI solutions that help engineering teams better understand spending patterns, identify cost-saving opportunities, and support proactive cloud cost management in a large-scale engineering environment.

 

Your assignment

In this internship, you will collaborate with cloud architects, platform engineers, product teams, and FinOps stakeholders to identify where AI can add the most value in cloud cost management. Rather than focusing on theoretical research, you will develop and validate practical AI solutions that improve cloud cost visibility, forecasting, and optimization.

Your main responsibilities will be:

  • Analyze cloud consumption and spending patterns across engineering environments
  • Develop AI-driven prototypes and proof-of-concepts for Cloud Cost Intelligence
  • Build AI agents that support cost attribution, optimization analysis, forecasting, and recommendation generation
  • Explore how AI can improve cloud cost transparency and optimization activities
  • Measure the impact and business value of proposed solutions
  • Present findings, recommendations, and adoption guidance to stakeholders

 

This is a bachelor/master internship for a minimum of 5 months, minimum 4 days per week (2 days on-site, but flexible). The start date of this internship is as soon as possible.

 

Your profile

To be suitable for the internship, you:

  • Are pursuing a bachelor's or master's degree in Computer Science, Artificial Intelligence, Software Engineering, Computer Engineering, or a related field
  • Have programming experience in Python and familiarity with Java, JavaScript, or similar programming languages
  • Have hands-on experience designing and building AI-driven applications, prototypes, or intelligent workflows
  • Have knowledge of machine learning, generative AI, or Large Language Models
  • Have strong analytical and problem-solving skills
  • Are proactive, curious, and comfortable working with multidisciplinary teams

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.

This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

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

Artificial Intelligence | Computer Science internship: AI-Driven Cloud Cost Intelligence at ASML rates 85 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.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI agentsArtificial IntelligenceMachine learningCloud ComputingFinopsPythonJavaJavaScript

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where artificial intelligence was part of your work. What did you do?
  3. Tell me about a project where machine learning was part of your work. What did you do?
  4. Tell me about a project where cloud computing was part of your work. What did you do?
  5. Tell me about a project where finops was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Artificial Intelligence, Machine learning, Cloud Computing, and Finops. 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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