Computer Vision & 3D Reconstruction Engineer

Role Overview

We are looking for a Computer Vision Engineer to work on our existing Python-based 3D reconstruction platform. The role involves improving image processing, marker detection, camera calibration, triangulation, and overall reconstruction accuracy.

Responsibilities

• Maintain and enhance the existing computer vision pipeline.
• Improve marker/sticker detection, tracking, and image correspondence.
• Work on camera calibration, camera pose estimation, and multi-view geometry.
• Develop and optimize 3D triangulation and reconstruction algorithms.
• Analyze and reduce reconstruction and reprojection errors.
• Debug and improve performance, accuracy, and reliability of the system.
• Collaborate with backend and frontend teams to integrate algorithm updates.
• Document technical solutions and maintain code quality.

Requirements

• Strong Python programming skills.
• Hands-on experience with OpenCV, NumPy, and SciPy.
• Good understanding of Computer Vision, Camera Calibration, Multi-View Geometry, 3D Reconstruction, Triangulation, Image Processing, and Numerical Optimization.
• Experience debugging and improving existing codebases.
• Familiarity with Git and collaborative development workflows.

Nice to Have

• Photogrammetry or Structure-from-Motion (SfM).
• Bundle Adjustment and optimization techniques.
• 3D visualization tools such as Plotly or Matplotlib.
• Experience with body measurement, garment, or human-body reconstruction systems.

Skills

• Python
• OpenCV
• NumPy
• SciPy
• Git