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Master’s research intern

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Hornetsecurity

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Location:
France , Hem

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Contract Type:
Not provided

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Salary:

Not provided

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

Additional Information:

Job Posted:
January 22, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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