Remote ML System Engineer — Edge AI & Vision

Owl Autonomous Imaging, Inc.; Northern (KY); Remote; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical coverage

401(k) match

Unlimited PTO

Flexible work environment

Job summary

Owl Autonomous Imaging is seeking a Machine Learning System Engineer to design and deploy real-time ML and computer vision systems for edge devices. You will translate high-level requirements into scalable architectures, optimize for latency and power, and lead edge deployment on Jetson-class hardware.

You will work across perception, ML inference, and edge deployment stacks, building CI/CD for model validation, and supporting imaging/video pipelines with Python, C++, PyTorch, OpenCV, and MATLAB

Qualifications

• Bachelor's degree in CS, software engineering, computer engineering, or equivalent.
• 5+ years of software development experience.
• Ability to translate complex technical concepts for non-technical stakeholders.
• Strong background in ML and deep learning (CNNs and transformers).
• Experience with computer vision and video processing (detection, classification, 3D/stereo vision).
• Proficiency in Python, C++, and tools such as PyTorch, OpenCV, and MATLAB.
• Experience with imaging systems, image processing, and GPU-accelerated computing.
• Strong systems engineering and architecture experience across complex software stacks.

Responsibilities

• Design, build, and deploy real-time ML and computer vision systems.
• Own ONNX → TensorRT export and optimization workflows for edge deployment on Jetson hardware.
• Profile, benchmark, and optimize modules for latency and power budgets.
• Build and maintain the edge inference runtime and CI/CD pipelines for model validation.
• Oversee hardware-in-the-loop testing on NVIDIA Jetson platforms.
• Guide development of imaging and video processing pipelines using Python, C++, OpenCV, PyTorch, TensorFlow, and MATLAB.

Skills

Python

C++

PyTorch

OpenCV

MATLAB

Deep Learning

Computer Vision

NVIDIA Jetson

TensorRT

CUDA

CI/CD

Edge AI

System Architecture

Education

Bachelor's degree in CS/Engineering

Equivalent experience

Tools

NVIDIA Jetson SDK

TensorRT

CUDA

DeepStream

GStreamer

VPI

libargus

ONNX

Job description

Owl Autonomous Imaging is seeking a Machine Learning System Engineer to design and deploy real-time ML and computer vision systems for edge devices. You will translate high-level requirements into scalable architectures, optimize for latency and power, and lead edge deployment on Jetson-class hardware.

You will work across perception, ML inference, and edge deployment stacks, building CI/CD for model validation, and supporting imaging/video pipelines with Python, C++, PyTorch, OpenCV, and MATLAB