2 weeks ago

Deep Learning Engineer

Robin Radar Systems

The Hague

2 weeks ago

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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

Deep Learning Engineer

Apply

Core AIHybridFull-timeMid LevelPython

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

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