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HarfangLab

AI Engineer Intern, Final-Year Placement

HarfangLab

. Research solutions for detecting and circumventing certain obfuscation mechanisms using machine learning .

Posted 10/15/2026internshipParis • FranceEntry LevelWebsite

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Research solutions for detecting and circumventing certain obfuscation mechanisms using machine learning
  • Develop a pipeline for generating datasets containing unobfuscated and obfuscated binaries
  • Train and evaluate models
  • Develop a classification model to detect and categorize obfuscation methods
  • Investigate a Siamese model to bring an original binary and its obfuscated counterpart closer together in a latent space
  • Investigate and combine static and dynamic approaches to binary analysis
  • Contribute to integrating the work into the HarfangLab product
  • Work within the seven-person Artificial Intelligence team

Requirements

What you’ll need
  • You are in the final year of an engineering degree, ideally specializing in artificial intelligence, machine learning, or computer science
  • You can read, understand, and write Python code
  • You have knowledge of classical machine learning and deep learning
  • Basic knowledge of cybersecurity and binary analysis is highly desirable
  • An understanding of obfuscation and the various methods used is highly desirable
  • Curious and self-motivated
  • Strong analytical skills and the ability to foster collaboration
  • Eager to actively contribute to integrating the work into the HarfangLab product

Benefits

Comp & perks
  • High-performance equipment tailored to your needs and preferences (Mac/PC, additional monitors)
  • Regular events, including seminars, themed evenings, and other social gatherings
  • An onboarding program featuring team introductions and a dedicated mentor
  • A supportive, healthy, and straightforward work environment
  • Flexibility in organizing your work, with opportunities to experiment
  • Meaningful work addressing a genuine need, with rapid visibility into results