Senior Computer Vision Engineer ID72408

AgileEngine•Blacksburg, VA

11d

About The Position

AgileEngine is an Inc. 5000 software company creating software for Fortune 500 brands and startups across more than 17 industries. The company is seeking a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases. The role involves building and deploying solutions for object detection, image segmentation, classification, and video analysis; evaluating and fine-tuning architectures with PyTorch and TensorFlow; developing broader machine-learning models; and applying practical knowledge of computer vision hardware and real-world deployment constraints. US-based engineers must reside in Dallas, Texas, and be open to working onsite at the office. The role also offers flexible scheduling with remote and office options, alongside professional growth opportunities and USD-based compensation with education, fitness, and team activity budgets.

Requirements

3 to 5 years of professional experience in computer vision, machine learning, data science, or a related field.
Degree in computer science, engineering, data science, mathematics, or a related discipline, or equivalent practical experience.
US-based engineers must reside in Dallas, Texas, and be open to working onsite at the office.
Strong, production-level proficiency in Python.
Deep hands-on experience with PyTorch and/or TensorFlow.
Proven experience building and deploying models for detection, segmentation, classification, and image/video analysis.
Solid understanding of machine-learning and data-science techniques, including time-series modeling, forecasting, anomaly detection, regression, and clustering.
Practical experience with computer vision hardware, including cameras, sensors, and lighting setups.
Familiarity with deploying models on edge devices.
Strong understanding of how physical and real-world constraints affect data quality, model training, and inference.
Upper-intermediate English proficiency.
Authorization to work for any US employer; the company cannot sponsor or take over employment visa sponsorship.

Responsibilities

Own applied model development across computer vision, AI/ML, and broader data science use cases.
Translate complex business problems into viable, practical, and scalable AI/ML solutions.
Evaluate model options, train and fine-tune selected architectures, and rigorously analyze model performance.
Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis.
Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis.
Apply practical understanding of real-world constraints, including lighting, sensor limitations, and edge-device compute power, to support data quality and robust production model performance.