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3D Machine Modeling Jobs in Diamond Bar, CA (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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)

R10095558 Machine Engineer (Open) Location: Santa Ana, CA - Carnegie Av - Manufacturing - AL Turbo ... Creating turbomachine layouts with 3D models, detailed drawings, and bills of materials in a timely ...

Senior CNC Programmer

Costa Mesa, CA · On-site

$28.50 - $39/hr

Read and interpret technical blueprints and design models. * Program, set up, and operate CNC multi ... High level of familiarity with multi-axis and 3D machining. * Experience with 5-axis milling, live ...

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3D Machine Modeling information

See Diamond Bar, CA salary details

$32.9K

$134.5K

$202.1K

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

As of Aug 24, 2026, the average yearly pay for 3d machine modeling in Diamond Bar, CA is $134,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $161,900.00 per year, depending on experience, location, and employer.

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 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 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 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 cities near Diamond Bar, CA are hiring for 3D Machine Modeling jobs?

Cities near Diamond Bar, CA with the most 3D Machine Modeling job openings:

Infographic showing various 3D Machine Modeling job openings in Diamond Bar, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $134,519 per year, or $64.7 per hour.

2.53 3D Machine Learning Engineer

Irvine, CA • On-site

Full-time

Re-posted 14 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.