Systems Internship

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Metadata Intelligence & RAG Internship - Open Day Edition

Attention Job Applicants:

At Amgen, we are relentless in applying the highest ethical standards to our products, services and communications. Consistent with this, we expect all job applicants to act with honesty and integrity. Providing any false or misleading information, or omitting material information during the hiring process, may result in immediate disqualification from the hiring process or termination if already employed. We appreciate your cooperation in helping us uphold these standards.

Metadata Intelligence & RAG Internship - Open Day Edition

JOB ID: R-240744 LOCATION: Netherlands - Breda WORK LOCATION TYPE: Flex Commuter / Hybrid DATE POSTED: Mar. 24, 2026 CATEGORY: Supply Chain

(Limited Spots - Attendance by Selection Only)

Are you driven by applied machine learning, metadata intelligence, information retrieval, and cutting‑edge LLM workflows?

This assignment is part of the Amgen Internship Open Day, where four internship opportunities will be presented directly by their hiring managers.

Open Day Date: 16 April

Limited spots available

Participants will be selected by the hiring managers

Final confirmations will be sent during the week of 6 April

⚠ Important: Once you confirm your spot, attendance is mandatory - not attending means taking a seat from another motivated student.

About the Internship - Metadata Intelligence: Theory + Prototype

This 6‑month final‑year internship offers a rare opportunity to work on state-of-the-art metadata enrichment, semantic search, embeddings, and RAG (Retrieval-Augmented Generation) inside Amgen's production ecosystem.

You will translate academic techniques into practical, reproducible prototypes using Amgen's high-quality datasets and collaborate closely with analytics teams, engineers, and domain SMEs.

This assignment is ideal for students wanting to bridge academic research with industry‑ready implementation.

Your Assignment

Over six months, you will design and deliver a full metadata intelligence workflow:

• Conduct a literature review on modern metadata enrichment, semantic search, and RAG workflows
• Compare rule-based, Transformer/LLM‑based, and hybrid extractors + retrievers
• Build hypotheses and design evaluation frameworks

• Implement baseline extractors
• Build LLM prompt pipelines, embedding-based retrievers, and hybrid workflows
• Integrate a RAG‑enabled helper tool/playbook
• Develop a metadata extractor + embedding + retrieval pipeline using Amgen datasets

• Build an interactive dashboard showing catalog completeness, data quality, pipeline freshness, KPI health
• Demonstrate how improved metadata + IR methods drive measurable productivity gains

4. Final Deliverables

• Annotated literature review
• Reproducible prototype code
• Evaluation suite with metrics & recommendations
• Integrated RAG demo
• Interactive data-maturity dashboard
• Handoff documentation + final stakeholder presentation

What You Will Learn

This internship provides hands-on experience in:

• End‑to‑end ML/NLP research and prototyping
• RAG workflows, embeddings, and metadata extraction
• Information retrieval evaluation (intrinsic + task-based metrics)
• Production‑grade reproducibility and experimentation
• Stakeholder interaction within a regulated, high-impact data environment
• Presenting advanced technical concepts to non-technical audiences

You will finish with portfolio‑quality code, reports, dashboards, and demos.

Skills & Profile We're Looking For

✅ Must-Haves

• Basic Python (scripts, pandas, small experiments)
• SQL fundamentals (SELECT, JOIN, GROUP BY, window functions)
• Experience working in notebooks (/Colab)
• Problem-solving mindset and ability to debug
• Clear written & verbal communication

✅ Nice-to-Haves

• Exposure to ML/NLP concepts (classification, embeddings, transformers)
• Experience with git / basic version control
• Any prior work with vector search or embeddings
• Experience with Databricks, SQL, Power BI (preferred)

• Type: Final-year internship (Master's preferred)
• Duration: 6 months
• Start: September 2026
• Preferred Universities: Tilburg University, Erasmus University, TU Eindhoven, TU Delft
• Preferred Majors: Econometrics, Data Science, Business Analytics & OR, Software Engineering, Statistics, Applied Mathematics, ML/AI

• Structured mentorship (1-2 hrs/week)
• SME access for annotation & evaluation
• Compute resources + production environment
• Stakeholder exposure and presentation opportunities
• A diverse, international, collaborative environment
• Hybrid working flexibility
• Gym, vitality programs, healthy cafeteria
• Possibility to apply for temporary or permanent roles

Amgen is an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

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