Availability awaiting confirmation
We are waiting for a fresh update from the source. This page preserves the last received job details; current availability is not confirmed.
Job description
3D Capture Validation
Validate 3D facial capture systems for accuracy , repeatability , geometric precision , landmark reproducibility , and clinical relevance .
Photogrammetry & 3D Rendering
Build validation pipelines using photogrammetry , 3D rendered images , RealityCapture , Agisoft Metashape , Blender , and Autodesk Maya .
3D Digital Endpoints Development
Design and scale 3D digital endpoints , biomarkers , and facial aesthetics outcome measures from mesh and point cloud data .
Machine Learning & AI
Develop supervised learning , self-supervised learning , and geometric deep learning models using PyTorch , TensorFlow , and scikit-learn .
3D Data Processing
Work with 3D meshes , point clouds , depth maps , surface reconstruction , UV mapping , texture baking , and feature extraction .
Statistical Validation
Apply ICC (Intraclass Correlation) , Bland-Altman Analysis , Bootstrap Methods , A/B Testing , and benchmarking frameworks.
Programming & Tools
Strong expertise in Python , NumPy , Pandas , SciPy , SQL , Open3D , trimesh , PyMeshLab , and PCL .
Clinical & Medical Imaging Domain
Preferred experience in aesthetics , dermatology , medical imaging , digital health , clinical trials , and regulated environments .
MLOps & Reproducibility
Use Git , DVC , MLflow , and cloud platforms (AWS , GCP , Azure ) for reproducible and scalable workflows.
Cross-Functional Leadership
Collaborate with clinical scientists , product managers , 3D capture specialists , and regulatory teams to deliver validated 3D solutions.
#J-18808-Ljbffr
Worksite address
irvine, CA, 92713, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.