The Hague
3 weeks ago
Deep Learning Engineer logo

Deep Learning Engineer

Robin Radar Systems

Deep Learning Engineer

Deep Learning Engineer needed for a defense and space manufacturing company in The Hague, Netherlands. The role involves developing, optimizing, and deploying neural networks for real-time radar performance, requiring 2-4 years of deep learning experience in computer vision, proficiency in Python and PyTorch, and experience with edge deployment tools.

Core AIHybridFull-timeMid LevelPythonPyTorch

Salary

Not specified

Work Location

The Hague, South Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

4 years

Employment Type

Full-time

Experience Level

2-4 years of experience in Deep Learning, specifically within Computer Vision

Core Qualifications

Technical (Must-have)
PythonPyTorchTensorRTONNXDeep LearningComputer VisionEdge DeploymentModel OptimizationRadarSonarLiDARMedical ImagingData EngineeringAutomated LabelingNeural Networks
Soft Skills
Proactive mindsetProblem-solvingCollaboration

Key Responsibilities

  • Design, train, and optimize deep learning models for detection, segmentation, and classification
  • Tailor neural networks to process abstract, non-natural 3D, 4D, and 5D radar imagery
  • Build advanced neural network architectures to detect and track small objects like birds and drones
  • Ensure models perform reliably despite real-world background noise and weather
  • Prepare, preprocess, and augment large-scale radar datasets for training pipelines
  • Implement automated labeling strategies to streamline data preparation at scale
  • Optimize trained neural networks for high-performance inference on edge computing hardware
  • Collaborate with Software Developers and Radar Specialists to integrate models seamlessly into production systems
  • Evaluate emerging deep learning techniques to continuously lift radar capabilities
  • Test model robustness under diverse field conditions and document design choices clearly
Deep LearningComputer VisionRadarDefenseSpace ManufacturingEngineeringInformation TechnologyFull-timeHybridNetherlands