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3D Machine Modeling Jobs in California (NOW HIRING)

Mindlance

3D Data Scientist

Irvine, CA · On-site

... to enhance machine learning models applied to 3D data. Responsibilities : • Lead the end-to-end validation of a 3D facial capture system, establishing technical benchmarks for accuracy ...

Apple

CVML Engineer - 3D Reconstruction

Sunnyvale, CA · On-site

Our team delivers cutting-edge computer vision, machine learning, and graphics algorithms that ... Experience optimizing ML models for mobile deployment and resource-constrained environments.

Apple

CVML Engineer - 3D Reconstruction

Sunnyvale, CA · On-site

Our team delivers cutting-edge computer vision, machine learning, and graphics algorithms that ... Experience optimizing ML models for mobile deployment and resource-constrained environments.

Mach Industries

CNC Machine Programmer

Huntington Beach, CA · On-site

$28 - $38.25/hr

Read and interpret technical blueprints, CAD models, and specifications to develop precise CNC ... Experience with water jet cutting, 3D printing (FDM/SLA), or CMM programming (e.g., PC-DMIS)

Apple

CVML Engineer - 3D Reconstruction

Sunnyvale, CA

$147K - $272K/yr

Our team delivers cutting-edge computer vision, machine learning, and graphics algorithms that ... Experience optimizing ML models for mobile deployment and resource-constrained environments.

Apple

CVML Engineer - 3D Reconstruction

Sunnyvale, CA

$212K - $318K/yr

Our team delivers cutting-edge computer vision, machine learning, and graphics algorithms that ... Experience optimizing ML models for mobile deployment and resource-constrained environments.

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

As part of our machine learning team, you will play a vital role in prototyping foundational ... models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D ...

Koobz

3D Printing Process Engineer

Ventura, CA

$80K - $120K/yr

Our VC-backed company is pushing the limits of 3D printing, machine vision, robotics, and ... Collaborate with cross-functional teams to design and refine CAD models, primarily using SolidWorks.

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3D Machine Modeling information

What is the difference between 3D Machine Modeling vs 3D CAD Designer?

Aspect3D Machine Modeling3D CAD Designer
CredentialsTechnical certifications in CAD and mechanical designCAD software certifications, engineering background
Work EnvironmentManufacturing, engineering firms, product developmentDesign studios, engineering departments, manufacturing
Industry UsageMechanical systems, machinery, industrial equipmentProduct design, architectural components, consumer products

3D Machine Modeling focuses on creating detailed models of machinery and mechanical systems, often for manufacturing or engineering purposes. 3D CAD Designers develop detailed designs for a variety of products and structures. While both roles require CAD skills and technical knowledge, 3D Machine Modeling emphasizes mechanical accuracy and functionality, whereas 3D CAD Design covers a broader range of design applications.

What are the key skills and qualifications needed to thrive as a 3D Machine Modeler, and why are they important?

To thrive as a 3D Machine Modeler, you need strong skills in 3D modeling, mechanical design principles, and a background in engineering or industrial design. Proficiency with CAD software such as SolidWorks, Autodesk Inventor, or Siemens NX, along with relevant certifications, is typically required. Attention to detail, creativity, and effective communication are crucial soft skills for translating concepts into precise models and collaborating with engineering teams. These skills and qualities ensure accurate, manufacturable designs that meet technical specifications and project goals.

What is 3D machine modeling?

3D machine modeling is the process of creating three-dimensional digital representations of machines or mechanical components using specialized computer software. These models help engineers and designers visualize, test, and refine machines before they are physically built. 3D machine modeling is widely used in industries such as manufacturing, automotive, aerospace, and robotics to improve design accuracy and efficiency. The process often involves using CAD (Computer-Aided Design) programs to create detailed, precise models that can be used for simulations, prototyping, and production.

What are some common challenges faced by 3D Machine Modelers when collaborating with engineering teams?

3D Machine Modelers often work closely with engineers to ensure that models accurately reflect technical specifications and functional requirements. A common challenge is translating complex engineering data into visually precise and manufacturable 3D models while keeping up with frequent design changes. Effective communication is essential to resolve discrepancies and maintain alignment on project goals. Additionally, modelers must balance aesthetic considerations with mechanical feasibility, requiring both creative and technical problem-solving skills.
What are popular job titles related to 3D Machine Modeling jobs in California? For 3D Machine Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching 3D Machine Modeling jobs in California look for? The top searched job categories for 3D Machine Modeling jobs in California are:
What cities in California are hiring for 3D Machine Modeling jobs? Cities in California with the most 3D Machine Modeling job openings:
3D Machine Modeling jobs near you
Infographic showing various 3D Machine Modeling job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution.

Computer Vision Engineer - 3D

Stark Pharma Solutions Inc

Irvine, CA • On-site

$119K - $141K/yr

Contractor

Posted 22 days ago

Key responsibilities

  • Lead validation activities for 3D facial capture and imaging systems.

  • Develop and validate novel 3D digital measurements and biomarkers from facial imaging data.

  • Build, train, and evaluate machine learning models using 3D imaging datasets.

Job description

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.