Introduction

ASML is an innovation leader in the semiconductor industry. We provide microchip makers with everything they need - hardware, software and services - to mass produce patterns on silicon through lithography. Within ASML the Development & Engineering cluster is responsible for the specification and the design of ASML products. In this cluster, the department Software Quality & Integration (SQI) maintains the test infrastructure used by software projects, specifies, executes and controls the testing and integration of the various software deliveries into different software releases. Test Infrastructure is a group within SQI department that builds, maintains and improves the test infrastructure (both hardware and automation software) for managing automated test execution, supporting CICD WoW and overall continuous, reliable integration and deployment of the different software releases. The software delivery process is a mission critical component of our business. Software testing, therefore is a very important, but also expensive part of it. The prospect of bringing data-driven insights to improve our testing strategies has great potential to increase quality of our deliveries and reduce costs.

Benefits

• Unique opportunity to bring a machine learning innovation from prototype to production.
• Mentorship by senior engineers, data scientists, and DevOps experts.
• Real-world experience in modern software development and MLOps practices.
• Access to cutting-edge technologies and development environments.
• Opportunity to make a visible impact on critical company processes.

Your Assignment

We are seeking a highly motivated and skilled student intern to join our team for an interesting internship assignment. The intern will focus on improving and industrializing machine learning models to provide real-time, data-driven and custom-tailored test advice for individual software changes and deliveries. This project aims to enhance our software testing processes by finding and offering optimal test coverage.

Key Responsibilities:

• Industrialization: Transform the existing prototype into a stable, maintainable, and scalable system ready for deployment in our CI/CD environments.
• Model Fine-Tuning: Update and retrain the model with recent data, addressing shifts in software delivery patterns and test strategies.
• System Integration: Work closely with DevOps and development teams to integrate the machine learning solution into our delivery pipelines.
• Monitoring and Optimization: Implement monitoring solutions to track model performance over time and apply continuous improvements.
• Documentation and Handover: Create clear, high-quality documentation of the architecture, workflows, and best practices for future development and maintenance.

Your profile

To be a match for this internship, you:

• Are a bachelor student or a master student in Computer Science, Data Science, Software Engineering or a related field looking for an apprenticeship or a graduation internship.
• Have strong skills in machine learning model deployment and operationalization (MLOps experience is a plus). Have proficiency in Python and familiarity with model serving frameworks (e.g., FastAPI, Flask, TensorFlow Serving) and have database experience (SQL).
• Good understanding of cloud technologies (e.g., AWS, Azure, or GCP) is an advantage and experience with CI/CD pipelines and version control systems (e.g., Git, GitLab CI).
• Are enthusiastic, flexible yet detail-oriented and have a strong analytical and problem-solving oriented mindset with a can-do mentality and the ability to work independently and collaboratively in a team environment.
• Have effective communication skills and are fluent in English both verbally and in writing.

This is a bachelor or master apprentice or graduation internship for a minimum duration of 6 months, for 4 to 5 days per week (at least 3 days onsite for full-time). The start date of this internship is as soon as possible.

Other requirements you need to meet

• You are enrolled at an educational institute for the entire duration of the internship;
• You are located in the Netherlands to perform your internship. In case you are currently living/studying outside of the Netherlands, your CV/motivation letter includes the willingness to relocate;
• 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).

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.

Diversity and inclusion

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 diversity and inclusion is a driving force in the success of our company.

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