Internship- Co-Op AI Engineer

Co-Op: AI Engineer

Organization: IT & Data Chief Data Office US
Location: United States hybrid
Employment Type: College Co-Op

Job Mission

As a AI Engineer Co-Op at ASML you will help develop data pipelines and data products that transform laser-machine and enterprise data into trusted usable information.

Working with experienced data engineers data architects IT specialists and business stakeholders you will contribute to technical solutions that support product capabilities analytics AI system performance and ultimately customer satisfaction.

This role provides an opportunity to work with complex high-value data in a collaborative engineering environment while learning how modern data solutions are designed tested deployed documented and operated at enterprise scale.

Job Description

As a member of the CDO US team you will:

• Develop and enhance data pipeline solutions that contribute to product features technical roadmaps analytics and AI use cases.
• Build data ingestion transformation validation and integration processes for laser-machine and enterprise data.
• Contribute to automated continuous data integration pipelines used to build test and release data solutions.
• Develop and optimize SQL transformations data models and analytical datasets.
• Apply systematic problem-solving to identify root causes resolve technical issues and standardize reusable solutions.
• Collaborate with cross-functional engineering and business teams on system design changes and improvements to system performance.
• Work with business users to understand requirements and translate business goals into feasible technical solutions.
• Collaborate with data architects software engineers AI engineers and IT team members to achieve shared project goals.
• Help improve data quality observability monitoring lineage and governance.
• Apply industry practices for code quality automated testing version control maintainability and technical documentation.
• Refactor and improve existing code so that legacy and modern systems can coexist during technology transitions.
• Participate in code reviews technical design discussions agile delivery activities and continuous improvement.
• Document data pipelines interfaces data models decisions dependencies and operating procedures.
• Contribute reusable data components and engineering patterns that can support multiple teams and use cases.

Education and Experience

• Must be pursuing a Bachelors or Masters degree in Computer Science Computer Engineering Data Engineering Information Systems Software Engineering or a related field.
• Knowledge of or experience with Python SQL Java or a comparable programming language.
• Knowledge of relational databases data modeling and data integration concepts.
• Familiarity with Databricks SQL Server or other database and data-platform technologies.
• Familiarity with Microsoft Azure or another cloud environment.
• Exposure to ETL/ELT development data pipelines or analytical data processing.
• Academic personal or professional project experience performing data engineering or similar work.
• Familiarity with Git automated testing CI/CD or modern software-development practices is preferred.
• Experience with data quality pipeline monitoring or data visualization is a plus.

Skills and Competencies

• Strong customer focus and a commitment to customer satisfaction through quality prioritization efficiency and professionalism.
• Strong numerical analytical and structured problem-solving skills.
• Ability to decompose complex problems clarify requirements and propose feasible solutions.
• Attention to detail and the ability to complete assignments with a high degree of accuracy.
• Ownership and accountability for assigned work including raising risks and following through on commitments.
• Ability to perform effectively in a demanding environment with changing priorities and workloads.
• Open clear concise and professional communication.
• Ability to establish cooperative working relationships with colleagues technical teams and business stakeholders.
• Willingness to seek feedback learn new technologies and continuously improve.
• Understanding of the importance of code health testing maintainability and documentation.
• Ability to balance immediate delivery needs with the development of scalable and reusable solutions.

What Success Looks Like

During the co-op you will have the opportunity to:

• Deliver working data pipelines transformations or data products that contribute to real business or engineering outcomes.
• Improve the quality reliability accessibility or maintainability of data used by internal teams.
• Demonstrate disciplined engineering through testing documentation code reviews and version control.
• Translate a defined business or engineering need into a practical technical solution.
• Collaborate effectively across data IT engineering analytics and AI teams.
• Develop reusable solutions rather than addressing each technical problem in isolation.
• Build practical experience with enterprise data platforms cloud technology and production-oriented engineering.

Team Culture

The CDO US team works across organizational and technical boundaries to turn data into scalable business and engineering value. We are looking for a student who:

• Is curious about how data supports advanced engineering analytics AI and customer outcomes.
• Takes ownership while remaining comfortable asking questions and seeking guidance.
• Approaches problems systematically and looks for root causes not only immediate fixes.
• Values collaboration over individual heroics.
• Communicates openly about progress risks dependencies and lessons learned.
• Cares about data quality code quality documentation and long-term maintainability.
• Can adapt as priorities change without losing focus on quality and delivery.
• Looks for opportunities to standardize automate and reuse solutions.
• Is motivated by learning and contributing in a highly technical international environment.

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.

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Required Experience:

Intern