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

ML Engineer

San Francisco, CA · On-site

$125 - $150/hr

We build models to extract 3D object and line features from dense LiDAR point clouds and imagery ... Master's or PhD in Machine Learning, Computer Vision, Computer Science, or a related field, or ...

ML Engineer

San Francisco, CA · On-site

$180K - $300K/yr

We build models to extract 3D object and line features from dense LiDAR point clouds and imagery ... Master's or PhD in Machine Learning, Computer Vision, Computer Science, or a related field, or ...

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3D Machine Modeling information

See Sunnyvale, CA salary details

$37K

$151.1K

$227.1K

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

As of Sep 7, 2026, the average yearly pay for 3d machine modeling in Sunnyvale, CA is $151,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $181,900.00 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 are popular job titles related to 3D Machine Modeling jobs in Sunnyvale, CA?

For 3D Machine Modeling jobs in Sunnyvale, CA, the most frequently searched job titles are:

What cities near Sunnyvale, CA are hiring for 3D Machine Modeling jobs?

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

Senior Machine Learning Engineer - Mapping

jobs.frontdoordefense.com - Jobboard

San Francisco, CA • On-site

$200 - $250/hr

Other

Medical, Life, PTO

Posted 19 days ago


Key responsibilities

  • Design and develop novel algorithms and ML models for 3D machine perception in real‑world environments.

  • Leverage large‑scale ML infrastructure to speed up development and deployment of ML models.

  • Develop metrics and tools to analyze errors and understand improvements of the systems.


Job description

Senior Machine Learning Engineer - Mapping

Develop algorithms for high-definition semantic maps to enable autonomous driving.

Location: San Francisco Bay Area

Compensation: $196,000-$278,000 per year

About the role

High‑definition semantic maps are a critical tool for enabling autonomous driving. We are looking for highly motivated individuals who are passionate about machine learning, computer vision, and machine perception. You will be part of our algorithm team with a diverse group of researchers and engineers, working together to build core machine perception algorithms to understand the natural environments and build semantic maps in an automated way.

In this role, you will:
  • Design and develop novel algorithms and ML models for 3D machine perception in real‑world environments.
  • Leverage our large‑scale ML infrastructure to speed up development and deployment of ML models.
  • Stay up‑to‑date with the latest state‑of‑the‑art research in computer vision and machine learning, and apply learned knowledge to improve our systems.
  • Develop metrics and tools to analyze errors and understand improvements of our systems.
  • Coordinate cross‑functional initiatives and collaborate with engineers from Mapping, Perception, Data Science, and more.
Qualifications
  • BS, MS, or PhD degree in Computer Science, Math or related fields.
  • 8+ years of industry or academia experience in related fields.
  • Experience with training/deploying Deep Learning models and with frameworks such as PyTorch, TensorFlow or JAX.
  • Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines.
  • Experience with 3D computer vision and projective geometry.
  • Proficiency in Python and/or C++.
Bonus Qualifications
  • Conference or journal publications in Computer Vision, Machine Learning or Robotics related venues (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ICRA, RSS, etc.).
  • Experience with object detection, object recognition, semantic segmentation and/or semantic scene understanding.
  • Experience with 3D reconstruction, SLAM and/or Structure from Motion (SFM).
  • Experience with high‑definition 3D maps.
  • Experience with geographic data and Geographic Information System (GIS).
Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $196,000 to $278,000. A sign‑on bonus may be part of a compensation package. Compensation will vary based on geographic location, job‑related knowledge, skills, and experience.

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long‑term care insurance, long‑term and short‑term disability insurance, and life insurance.

We encourage diverse perspectives and are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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