Job Title: Machine Learning Engineer

Company Name: Zone 5 Technologies

Job Url: https://job-boards.greenhouse.io/embed/job_app?for=zone5technologies&jr_id=68ce6ce1fb49c96ca6ea0551&token=4894455008&utm_source=jobright

Job Description: We 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. You will own the full lifecycle from data curation through model deployment on edge hardware. 

Responsibilities: 

ML Model Development & Deployment 

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 
Data Infrastructure & MLOps 

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 
System Integration 

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 
Qualifications: