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3D Machine Modeling Jobs (NOW HIRING)

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

They are seeking a 3D Machine Learning Engineer to design, implement, and maintain advanced 3D machine learning models for processing reality capture data, contributing to automated progress tracking ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent ... Strong background in 3D machine learning, with experience in deep learning for point clouds, multi ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent ... Strong background in 3D machine learning, with experience in deep learning for point clouds, multi ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent ... Strong background in 3D machine learning, with experience in deep learning for point clouds, multi ...

Flynn Brothers Contracting

Be Seen First

3D Modeler

Louisville, KY · On-site

$60K - $79K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Key Responsibilities 3D Modeling & Site Preparation · Develop complete 3D models of project sites ... Machine Control & Data Management · Prepare Trimble and Topcon machine control files. · Input ...

SALTWORKS FAB LLC

3D Solid Modeling Car Parts

Sarasota, FL · On-site

$40 - $55/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Create parts that go from screen → machine → vehicle with minimal iteration * Insure designs based on fit, function, and performance What We're Looking For * Strong experience in 3D CAD modeling ...

MasTec

Modeling Technology Manager

Tempe, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Oversee BIM, VDC, Civil 3D, machine control, and digital construction workflows. * Lead the creation and maintenance of 3D models for earthwork, mining, grading, paving, utility, and heavy civil ...

MasTec

Modeling Technology Manager

Tempe, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Oversee BIM, VDC, Civil 3D, machine control, and digital construction workflows. * Lead the creation and maintenance of 3D models for earthwork, mining, grading, paving, utility, and heavy civil ...

MasTec

Modeling Technology Manager

Tempe, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Oversee BIM, VDC, Civil 3D, machine control, and digital construction workflows. * Lead the creation and maintenance of 3D models for earthwork, mining, grading, paving, utility, and heavy civil ...

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All Jobs3D Machine Modeling Jobs

3D Machine Modeling information

See salary details

$31.5K

$128.8K

$193.5K

How much do 3d machine modeling jobs pay per year?

As of Aug 14, 2026, the average yearly pay for 3d machine modeling in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

Is 3D Machine Modeling still in demand?

3D Machine Modeling remains in demand in industries such as manufacturing, engineering, and product design, where accurate digital representations of machinery are essential. Professionals with skills in CAD software, such as SolidWorks or AutoCAD, and knowledge of mechanical systems are highly sought after. The role often requires attention to detail and familiarity with industry standards to support prototyping, simulation, and manufacturing processes.

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.

Is 3D machine modeling a good career?

3D machine modeling is a specialized field that involves creating detailed digital representations of machinery using CAD software and 3D modeling tools. It offers opportunities in industries such as manufacturing, engineering, and product design, often requiring technical skills and attention to detail. The career can be stable and rewarding for those with strong technical abilities and a background in engineering or design.
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What cities are hiring for 3D Machine Modeling jobs?

Cities with the most 3D Machine Modeling job openings:

What states have the most 3D Machine Modeling jobs?

States with the most job openings for 3D Machine Modeling jobs include:

What job categories do people searching 3D Machine Modeling jobs look for?

The top searched job categories for 3D Machine Modeling jobs are:

3D Machine Modeling jobs near you
Infographic showing various 3D Machine Modeling job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 10% Part Time, 1% Temporary, 3% Contract, and 3% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

2.53 3D Machine Learning Engineer

FieldAI

Irvine, CA • On-site

Full-time

Re-posted 3 days ago

Job description

Job Summary:
FieldAI is a company based in Irvine, California, specializing in embodied AI and robotics. They are seeking a 3D Machine Learning Engineer to design, implement, and maintain advanced 3D machine learning models for processing reality capture data, contributing to automated progress tracking and scene understanding in construction environments.
Responsibilities:
• Design and implement scalable machine learning pipelines for large-scale 3D spatial data processing for point cloud analysis, object detection, segmentation, and scene understanding.
• Train, optimize, and deploy deep learning models using PyTorch, TensorFlow, or equivalent frameworks on cloud platforms such as AWS (e.g., SageMaker, EC2).
• Collaborate with software and systems engineers to integrate models into production environments and continuously improve inference pipelines.
• Analyze diverse sensor inputs, including RGBD imagery, LiDAR point clouds, 360 photos, audio, and Building Information Models (BIM).
• Work closely with the labeling and data operations teams to define robust data annotation strategies and ensure high model performance and generalization.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Robotics, or a related technical field.
• 2+ years of hands-on industry experience developing and deploying machine learning systems for 3D point clouds, perception, or spatial understanding tasks.
• Strong background in 3D machine learning, with experience in deep learning for point clouds, multi-view fusion, or geometric learning.
• Strong expertise in Python and deep learning frameworks: PyTorch, TensorFlow, or similar.
• Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data preprocessing.
• Experience training, evaluating, and deploying ML models using cloud infrastructure (e.g., AWS, SageMaker) and containerized workflows.
• Solid understanding of the end-to-end ML lifecycle, including experiment tracking, reproducibility, model versioning, and optimization for production.
• Proven ability to work in fast-paced, interdisciplinary teams across software, ML, and product teams.
Preferred:
• Experience working with BIM data, digital twins, or construction-related sensor data.
• Background in geometric deep learning, 3D mesh analysis, GIS systems, or structured scene representations.
• Familiar with MLOps pipelines using Ray, SageMaker, MLflow, or Kubeflow.
• Strong foundation in geometric computer vision, robotics, or algorithmic 3D reasoning.
• Exposure to graph neural networks, geodesic computations, or neural implicit representations (e.g., NeRF, Occupancy Networks).
• Deep experience with point cloud and graph learning frameworks such as Open3D-ML, Torch-Points3D, PyG, or MMDetection3D.
• Experience building custom modules for SparseConvNet or 3D transformers.
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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