Machine Learning Engineer (semantic Scene Understanding)

Harmattan AI

Paris, France
On-site
Python and pytorch expertise
Semantic segmentation and object detection
Real-time edge optimization techniques
The role involves designing core algorithms to extract semantic information in real-time from UAV camera feeds for mission-critical defense systems

Job Summary

  • The role involves designing core algorithms to extract semantic information in real-time from UAV camera feeds for mission-critical defense systems.
  • Candidates will architect pipelines that align semantic data from multiple moving drones into a cohesive Common Operational Picture.
  • The position requires optimizing machine learning models using quantization and pruning to meet strict real-time compute constraints on tactical platforms.

Matching Summary

The role involves designing core algorithms to extract semantic information in real-time from UAV camera feeds for mission-critical defense systems.

Skills & Requirements

Must-have

  • Python and PyTorch expertise
  • Semantic segmentation and object detection
  • Real-time edge optimization techniques
  • 3D geometry and linear algebra knowledge
  • C++ and inference framework experience

Nice-to-have

  • PhD in Computer Science or related field
  • Experience with aerial EO/IR imagery
  • Production deployment on ruggedized hardware
  • Multi-UAV temporal and spatial alignment
  • Fast-paced startup environment adaptability

Key Requirements

  • MSc in Computer Science or Machine Learning
  • Expert-level command of Python and PyTorch
  • Deep understanding of ML theory and 3D Geometry

Work Rights

Not specified

Tailored Resume

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