Machine Learning Engineer III (Computer Vision)

TL;DR

Machine Learning Engineer III (Computer Vision): Designing and deploying production-grade computer vision pipelines and ML data infrastructure for autonomous aerial systems with an accent on object detection, tracking, and edge deployment. Focus on optimizing models for NVIDIA Jetson hardware and integrating them into ROS2 autonomy stacks.

Location: United States (must be authorized to work in the US and pass E-Verify)

Salary: $157,000 - $189,000 USD

Company

hirify.global develops cutting-edge autonomous solutions for unmanned aircraft systems (UAS), focusing on next-generation flight systems for defense and aerospace.

What you will do

• Design, train, and optimize object detection and tracking models (YOLO, RT-DETR, ViT) for aerial platforms.
• Deploy and profile models on NVIDIA Jetson hardware using TensorRT to ensure real-time inference under power and latency constraints.
• Integrate vision models into ROS2 autonomy stacks and develop nodes for real-time sensor processing.
• Build and maintain end-to-end MLOps pipelines for ingestion, labeling, versioning, and quality control of large-scale imagery.
• Implement active learning loops, synthetic data generation, and automated model evaluation frameworks.
• Collaborate with perception and autonomy teams to ensure vision outputs meet system requirements.

Requirements

• Authorization to work in the US and ability to complete E-Verify verification.
• 4-6+ years of experience in machine learning with a focus on computer vision.
• Strong proficiency in PyTorch and Python (NumPy, Pandas, OpenCV).
• Hands-on experience deploying models on NVIDIA Jetson platforms (Orin, Xavier).
• Experience with ROS2 for robotics and sensor integration.
• Knowledge of model optimization: quantization, pruning, TensorRT, and ONNX.

Nice to have

• Experience with C++ and CUDA programming for GPU optimization.
• Background in object tracking algorithms (Kalman filters, Hungarian assignment).
• Experience with GStreamer, Jetson BSP, or embedded Linux development.
• Familiarity with MLOps platforms such as DVC, MLflow, or Weights & Biases.
• Knowledge of synthetic data generation or domain adaptation techniques.

Culture & Benefits

• Comprehensive medical, dental, vision, and life insurance.
• 401k plan with company match.
• 4 weeks of paid time off annually plus 12 company holidays.
• Opportunity to work on cutting-edge defense and aerospace technology in a collaborative environment.