Algorithm Engineer Internship

Introduction

We are looking for a highly motivated LLM / Machine Learning Engineer with strong engineering fundamentals and hands-on experience in modern AI systems. You will work on large language models intelligent agents and computer vision systems taking solutions from research to production. This role requires both deep technical capability and strong execution skills with opportunities to work across model fine-tuning deployment and real-world application development.

Your assignment

Large Language Models & Generative AI Fine-tune large language models (LLMs) including: o Dataset collection cleaning preprocessing and evaluation o Parameter-efficient fine-tuning techniques (e.g. LoRA adapters) Deploy LLMs across multi-GPU environments using modern inference frameworks Optimize model performance latency and throughput in production systems Retrieval-Augmented Generation (RAG) Design and build RAG pipelines using existing structured and unstructured data Implement document ingestion embedding indexing and retrieval strategies Improve answer quality grounding and system robustness Agent & Application Frameworks Build intelligent agents using mainstream frameworks Understand and apply different agent architectures and tool-use patterns Confidential Compare and evaluate current mainstream agent tools and ecosystems Computer Vision & Machine Learning Develop machine learning solutions in computer vision with a focus on Object detection and Image classification Apply and adapt mainstream CV frameworks and models in practical scenarios Engineering & Deployment Use Docker and containerization for efficient development and deployment Set up reproducible environments and scalable deployment pipelines Collaborate closely with engineering teams to integrate AI systems into products

Your profile

Hands-on experience in AI / Machine Learning Strong background in one or more of the following fields: Computer Science Software Engineering Physics Mathematics Electrical Engineering Robotics or related technical disciplines Solid understanding of machine learning fundamentals and modern AI systems Practical experience with: o LLM fine-tuning and deployment o RAG-based systems o Computer vision (detection and classification)

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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