AI Engineer, Weapon Detection

Cover is an AI security company developing concealed weapon detection systems. They are looking for a deep learning engineer to design weapon detection models with low latency and high accuracy to prevent school shootings.

Responsibilities:

• Research, design, implement, optimize and deploy deep learning models that advance the state of the art in autonomous weapons detection models
• Operate with a commercial mindset to ship working product that can detect weapons at K-12 schools in the U.S
• Develop training pipeline including synthetic data generation and validation against real sensor data
• Train machine learning and deep learning models on a computing cluster to carry out visual recognition tasks, including weapon segmentation and detection
• Review deep learning code and research papers, implement models and algorithms, tailor them to our specific use cases for school weapon detection, enhance internal metrics, and collaborate with downstream engineers to efficiently integrate neural networks into our scanning system
• Enhance deep neural networks and their related preprocessing and postprocessing code to ensure efficient execution on an embedded device