3D ENGINEER

Own the 3D reconstruction and geometry foundations of SkinBit's clinical-grade full-body dermatological scanner.

SkinBit is building the next generation of full-body dermatological scanners, combining high-resolution multi-camera imaging, controlled illumination, 3D reconstruction, and advanced algorithmic analysis to enable early skin cancer detection at scale.

You will turn multi-camera captures into accurate, textured, clinically usable digital twins of a patient's skin. A reconstruction pipeline already exists across point-cloud generation, mesh generation, and mesh texturing. Your role is to improve it on the axes that matter clinically and build the capabilities that do not exist yet.

This is a hands-on senior execution role for someone who can bridge cutting-edge research and reliable production software.

Responsibilities

• Improve geometric accuracy, surface completeness, texture fidelity, and reproducibility.
• Solve difficult full-body reconstruction cases including hair, fingers, ears, thin structures, and patient motion.
• Evaluate Gaussian Splatting and neighboring neural-rendering approaches against the current stack.
• Evaluate and integrate new depth-sensing hardware.
• Build pose-change, mesh-rigging, animation, and pose-dependent physics capabilities.
• Register additional photos captured in the wild onto the 3D model.
• Profile, optimize, scale, and integrate the reconstruction pipeline in production.

Qualifications

• 6+ years of professional experience in 3D reconstruction, geometry processing, SfM, multi-view stereo, photogrammetry, SLAM, or neural rendering.
• Engineering degree or MSc in Computer Graphics, Computer Vision, Computer Science, Applied Mathematics, or a related field.
• Expert-level Python and strong command of tools such as Open3D, PyTorch3D, COLMAP, trimesh, or equivalent.
• Strong foundations in multi-view geometry, camera calibration, registration, and mesh processing.
• Proven experience shipping 3D algorithms to production.
• Gaussian Splatting, NeRF, differentiable rendering, human-body reconstruction, or medical-imaging experience is strongly valued.

Benefits

• High-impact work at the core of clinical performance.
• An interdisciplinary team spanning computer vision, hardware, and medicine.
• Mission-driven work supporting earlier cancer detection.
• A demanding, pragmatic, execution-focused deep-tech environment.