We’re developing GuardianSight, a safety system that combines radar sensors with AI vision. You’ll train a gun-detection engine and explore how radar data can enhance object recognition. Responsibilities: Train and fine-tune a firearm detection model (YOLO, DETR, etc.) Analyze radar outputs and align them with camera data Build basic radar preprocessing (FFT, range-Doppler, spectrograms) Experiment with camera + radar fusion for higher accuracy Deliver a working prototype integrated with our face-recognition engine Requirements: Strong ML / CV background (PyTorch or TensorFlow) Experience with object detection and dataset management Familiarity with radar or signal processing concepts Clean, documented code and clear reporting Nice to Have: Experience with mmWave radar, sensor fusion, or real-time systems **Looking for Miami, FL local