Machine Learning Engineer III – Computer Vision & Data Systems

Zone 5 Technologies is redefining what's possible in unmanned aircraft systems, developing cutting-edge autonomous solutions. They are seeking a Machine Learning Engineer to build production-grade computer vision pipelines and manage end-to-end ML data infrastructure for autonomous aerial systems.

Responsibilities:

• Design, train, and optimize object detection and tracking models (YOLO, RT-DETR, ViT) for aerial platforms
• Deploy models on NVIDIA Jetson hardware using TensorRT, achieving real-time inference
• Integrate vision models into ROS2 autonomy stacks with efficient message passing and synchronized sensor data
• Profile and optimize model performance to meet compute, power, and latency constraints on embedded systems
• Build and maintain data pipelines for ingestion, labeling, versioning, and quality control of large-scale aerial imagery datasets
• Design active learning loops and data selection strategies to maximize model performance with minimal labeling effort
• Implement automated model evaluation frameworks and performance monitoring for deployed systems
• Create synthetic data generation pipelines and data augmentation strategies to improve model robustness
• Develop ROS2 nodes for real-time sensor processing, model inference, and downstream autonomy integration
• Work with GStreamer and Jetson multimedia APIs for efficient camera pipeline management
• Collaborate with perception and autonomy teams to ensure vision outputs meet system requirements