Master’s research intern Job at Hornetsecurity (Hem)

Job Description

Automated Prompt Optimization for Industrial Applications Based on LLMs. As part of our efforts in AI research engineering, we are looking for a motivated final-year master’s intern (6 months) to work on automated prompt optimization for applications using large language models (LLMs). Under the supervision of the Lead Research Engineer of the Security Lab, you will join the Prototyping, AI & Research team and actively contribute to projects aimed at making our systems more robust, scalable, and automated.

Job Responsibility

Designing and evaluating an automated prompt optimization pipeline using frameworks such as DSPy
Exploring the state-of-the-art in prompting and optimization techniques
Implementing automated prompt optimization using open-source tools
Defining and tracking performance metrics (accuracy, recall, F1)
Extending evaluation with text quality metrics (fluency, correctness, faithfulness, etc.)
Integrating quality feedback through “LLM-as-a-judge” methods into the optimization loop

Requirements

Master’s student (or equivalent) in Computer Science, Artificial Intelligence, Machine Learning, or a related field, ideally with a research component
Strong interest in LLM prompt engineering and evaluation methodologies
Proficient in Python and modern machine learning tools
Research-oriented mindset, capable of critically reading and analyzing recent scientific papers, formulating hypotheses and designing experiments to test them
Willingness to pursue a CIFRE PhD after the internship
Intellectually curious, autonomous, and rigorous, able to document work clearly and communicate results to both technical and non-technical audiences
Located in Paris or Lille
Fluent in English (written and spoken)

What we offer

100% reimbursement of public transportation costs
Meal vouchers worth €10 per working day
CSE benefits & Student health insurance providing effective coverage from day one

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Master’s research intern

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