Junior/Middle Computer Vision Engineer

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.

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;

Why It Might Be a Fit

We offer a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience. A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment is a must.

Requirements

• Authorized to work for ANY employer in the US
• 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)
• 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
• Upper-intermediate English level

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