Junior/Middle Computer Vision Engineer ID72410

AgileEngine; Richmond (AL); On-site; 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 preparation, model training, and evaluation for an AI team handling large image and video datasets. You will curate labeling workflows, run training and evaluation jobs, document results, and collaborate with senior engineers on failure-case analysis.

This early-career role offers a growth path into applied modeling or MLOps, mentorship-driven learning, and exposure to production deployments, with a strong emphasis

Qualifications

• 1 to 3 years of experience in software engineering, data science, ML, or related field.
• Degree in Computer Science, Data Science, Engineering, Mathematics, or related discipline (or equivalent practical experience).
• Foundational Python coding skills.
• Foundational understanding of ML concepts and workflows.
• Basic knowledge of computer vision principles (image processing, object detection).
• Familiarity with cloud environments and compute resources.
• Authorized to work in the US; no visa sponsorship available.
• Willingness to learn in a mentorship-driven environment.
• Excellent attention to detail and data quality.
• Upper-intermediate English.

Responsibilities

• Curate large-scale image and video datasets, manage labeling processes and workflows.
• Run model training and evaluation jobs, ensuring experiments run smoothly.
• Document training results and track model performance over time.
• Collaborate with senior engineers to analyze failure cases and identify improvements.
• Support foundational tasks across the AI/ML lifecycle for production deployments.

Skills

Python

Data science

Machine learning

Computer vision basics

English (written)

Cloud familiarity

Education

Bachelor's degree in CS/Data Science/Engineering/Math

Tools

None

Job description

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;
• Upper-intermediate English level.

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.