Senior 3D Reconstruction Engineer - Production-Ready Mesh

SkinBit Inc.; Paris; Hybrid; EUR 90,000 - 125,000; Full time

Job summary

SkinBit, based in Paris, is building the next generation of full-body dermatological scanners. We are seeking a senior 3D engineer to own 3D reconstruction and geometry projects, turning multi-camera captures into accurate, textured digital twins of patients' skin within production-grade software.

You will push the pipeline, tackle challenging cases like hair, fingers, and motion, and help shape the roadmap by bridging R&D and deployment in a hands-on role.

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, Image & Shape Analysis, Computer Vision, Computer Science, Applied Mathematics, or a related field
• Proven track record shipping 3D algorithms into production environments
• Strong foundations in multi-view geometry, camera calibration, registration, and mesh processing

Responsibilities

• Push the existing pipeline further on clinically-relevant axes: geometric accuracy, surface completeness, texture fidelity, reproducibility
• Address hard cases: hair/body hair, fingers, ears, thin structures, patient motion
• Explore Gaussian Splatting and neural rendering approaches and determine where they beat current stack
• Evaluate and integrate new depth sensing hardware into the pipeline
• Build capabilities for pose change, rigging, and cross-visit comparability
• Bridge the gap between R&D and production and ensure algorithms are optimized and robust

Skills

Python

3D reconstruction

Multi-view geometry

Camera calibration

Mesh processing

Production-grade software

Software optimization

Open3D

PyTorch3D

COLMAP

Trimesh

Education

Engineering degree or MSc in Computer Graphics, Vision, CS, or related field

Tools

Open3D

PyTorch3D

COLMAP

trimesh

NVIDIA 3D rendering stack

Job description

Competitive salary + equity (depending on profile)

Job Description

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

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