Junior/Middle Computer Vision Engineer ID72410

AgileEngine, LLC.; Richmond (VA); Hybrid; USD 65,000 - 95,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Junior/Middle Computer Vision Engineer to support data prep, model training, and evaluation for an AI team handling large-scale image and video datasets.

You will curate annotation workflows, run training jobs, and track benchmarks, collaborating with senior engineers to improve data and model performance, with a growth path into applied modeling or MLOps.

Qualifications

• Degree in Computer Science, Data Science, Engineering, Mathematics, or related discipline with practical experience.
• 1 to 3 years of experience in software engineering, data science, ML, or related field.
• Authorized to work in the US; no visa sponsorship provided.

Responsibilities

• Curate large-scale image and video datasets and manage labeling workflows with high data quality.
• Run model training and evaluation jobs and document results and benchmarks.
• Collaborate with senior engineers to analyze failure cases and improve data or algorithms.
• Support AI/ML lifecycle tasks to accelerate production deployments.

Skills

Python

ML concepts

Computer vision basics

Data preprocessing

Attention to detail

Education

Bachelors in CS/DS/Engineering

Job description

Job Information

Full time | AgileEngine | United States

Posted On 09/17/2026

City Richmond

State/Province Virginia

23173

IT Services

Job Description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

WHAT YOU WILL DO

• Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
• Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
• Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
• Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
• Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments.

MUST HAVES

• You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
• 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
• Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);
• Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
• Foundational coding skills in Python;
• Foundational understanding of machine learning concepts and workflows;
• Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
• Basic familiarity with cloud environments and compute resources;
• A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
• Excellent attention to detail, specifically regarding data quality and documentation;

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.