Computer Vision Engineer - 3D

Hi,

My name is Karthik Mutyala, and I am a Recruitment Manager with Stark Pharma Solutions, specializing in opportunities across the Pharmaceutical, Biotechnology, Medical Device, and Life Sciences industries.

I am actively connecting with professionals for current and upcoming opportunities. If you are open to exploring new roles or would like to stay informed about relevant positions, please send me your updated resume along with the best number and time to reach you.

Role: 3D Data Scientist / Computer Vision Engineer

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.

The ideal candidate combines expertise in data science, computer vision, machine learning, and 3D modeling technologies, with the ability to translate complex data into clinically meaningful insights.

Key Responsibilities

3D Imaging & Validation

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.

Computer Vision & Digital Endpoint Development

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 the development of clinically relevant outcome measures using advanced image analysis techniques.

Establish best practices for data preprocessing, quality control, and feature engineering.

Machine Learning & Data Science

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.

Cross-Functional Collaboration

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

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.