Deep Learning Engineer
- Experience
- 2+ years
- English
- C1, required
- Education
- Master's degree
Your next mission
Train the intelligence behind our radars – turning complex signal data into instant, real-world detection.
As our Deep Learning Engineer, you develop, optimize, and deploy neural networks that enhance real-time radar performance. You work side-by-side with AI, Software Engineering, Hardware, and Product Management colleagues – translating abstract radar signal modalities into models that spot small airborne objects in noisy environments. You report to the Team Lead AI, and your models directly safeguard critical sites around the globe.
Model design and architecture: 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.
Target classification and tracking: 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.
Data engineering and automation: Prepare, preprocess, and augment large-scale radar datasets for training pipelines. Implement automated labeling strategies to streamline data preparation at scale.
Edge optimization and deployment: 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.
Research and field validation: Evaluate emerging d