Overview

Mid-Level Computer Vision & 3D Deep Learning Engineer – Barcelona

Responsibilities

• Research, prototype, and integrate new deep learning algorithms from recent literature (NeurIPS, CVPR, ICCV, ECCV) to improve 3D reconstruction quality.
• Develop and maintain deep learning components for multi-view reconstruction, landmark detection, segmentation, inpainting, and view-consistent shape fitting.
• Implement and tune custom training pipelines and loss functions, and evaluate their impact on mesh and texture quality.
• Design and run quantitative evaluation experiments using metrics such as reprojection error, surface-to-surface distance, and perceptual quality scores.
• Export and deploy trained models for inference (TorchScript/JIT, Triton Inference Server).

Qualifications

• 2-3 years of hands-on experience in computer vision and deep learning research or applied engineering.