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HAHarmattan AI

AI & Computer Vision Intern(m/w/x)

Lausanne
Full-timeInternshipOn-site
AI/ML

Generative AI pipeline engineering for defense systems, transforming datasets while preserving critical targets. Master's degree in CS/Robotics/EE with ML focus required. Hybrid work, 4-day work week.

Requirements

  • Master’s degree in Computer Science, Robotics, Electrical Engineering, or related field with Machine Learning focus
  • Strong understanding of CNN architectures, object detection frameworks, and modern loss functions
  • Understanding of tracking world and its problematics
  • Proficiency in Python
  • Comfortable working in C++
  • Experience working in Linux environment
  • Familiarity with Git (plus)
  • Rigorous approach to debugging
  • "Engineering first" mindset
  • Fluency in English
  • French (plus)
  • Experience with NVIDIA Jetson platforms
  • Experience with hardware-accelerated inference
  • FPV pilot experience or hobbyist interest in UAVs
  • Previous experience with synthetic data generation

Tasks

  • Engineer an advanced Generative AI pipeline
  • Transform dataset contexts (time-of-day, seasons, biomes, weather)
  • Preserve small, critical target objects during transformation
  • Refine a multi-pass diffusion pipeline
  • Adapt scene contexts while maximizing physical realism
  • Improve custom masking algorithms
  • Enhance high-res depth-patching algorithms
  • Anchor small objects in 3D space
  • Eliminate generative artifacts and 'sticker' effects
  • Generate large-scale augmented datasets
  • Quantify dataset impact on downstream model performance
  • Design experiments to measure synthetic data impact
  • Improve accuracy, recall, and robustness of object detectors

Education

  • Currently in higher education

Languages

  • EnglishNative
  • FrenchBasic

Tools & Technologies

  • Python
  • PyTorch
  • TensorFlow
  • C++
  • Linux
  • Git
  • NVIDIA Jetson
  • NVIDIA Isaac Sim
  • Gazebo
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