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Computer Vision Engineer - 3D
- Irvine, California, United States
- Irvine, California, United States
À propos
Location: Irvine, CA (Hybrid)
Duration: 12-Month Contract
Schedule: Monday – Friday, 8:00 AM–5:00 PM PST
Position Overview We are seeking a highly skilled 3D Data Scientist / Computer Vision Engineer to support the development and validation of advanced 3D imaging technologies within a cutting‑edge digital health and aesthetics environment. This role will focus on validating 3D facial capture systems, developing novel 3D digital biomarkers, and applying machine learning techniques to complex 3D datasets.
Key Responsibilities
Lead validation activities for 3D facial capture and imaging systems.
Design and execute validation studies to evaluate accuracy, reproducibility, and performance across diverse datasets.
Develop quantitative testing methodologies and statistical frameworks to assess 3D image quality and geometric precision.
Document findings and communicate results to technical and business stakeholders.
Develop and validate novel 3D digital measurements and biomarkers from facial imaging data.
Create scalable workflows for processing, analyzing, and extracting features from 3D meshes, point clouds, and photogrammetry data.
Support development of clinically relevant outcome measures using advanced image analysis techniques.
Establish best practices for data preprocessing, quality control, and feature engineering.
Build, train, and evaluate machine learning models using 3D imaging datasets.
Apply computer vision, geometric deep learning, and statistical modeling techniques to solve complex analytical challenges.
Benchmark model performance and optimize algorithms for robustness, accuracy, and scalability.
Collaborate with software, engineering, and scientific teams to deploy and improve analytical solutions.
Partner with imaging specialists, software engineers, clinicians, and product teams to define technical requirements and project goals.
Support research initiatives and contribute to innovation in digital health, imaging, and computer vision technologies.
Stay current with emerging trends in AI, machine learning, computer vision, and 3D data science.
Required Qualifications
Bachelor's, Master's, or PhD in Computer Science, Data Science, Computer Vision, Biomedical Engineering, Machine Learning, or a related quantitative field.
3+ years of experience in Data Science, Machine Learning, Computer Vision, or related technical roles.
Strong proficiency in Python and data science frameworks such as NumPy, Pandas, SciPy, Scikit‑learn, PyTorch, or TensorFlow.
Hands‑on experience working with 3D meshes, point clouds, depth maps, and photogrammetry data.
Experience with 3D visualization, rendering, or modeling tools such as Blender, Autodesk Maya, or similar platforms.
Strong background in statistical analysis, validation methodologies, and experimental design.
Excellent communication and technical documentation skills.
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Compétences linguistiques
- English
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