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 ...
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
$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 ...
Quick apply
3D Machine Learning Engineer
$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 ...
3D Machine Learning Engineer
$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
$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 ...
Senior Machine Learning Engineer - 3D Sensor Simulation
Foster City, CA · On-site
$239K - $333K/yr
Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender. * Experience in 3D rendering for simulation, games, cloud computing, or VFX $239,000 ...
Senior Machine Learning Engineer - 3D Sensor Simulation
Foster City, CA · On-site
$239K - $333K/yr
Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender. * Experience in 3D rendering for simulation, games, cloud computing, or VFX $239,000 ...
Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender. * Experience in 3D rendering for simulation, games, cloud computing, or VFX $239,000 ...
Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender. * Experience in 3D rendering for simulation, games, cloud computing, or VFX $239,000 ...
Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender. * Experience in 3D rendering for simulation, games, cloud computing, or VFX Base Salary ...
Quick apply
Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender. * Experience in 3D rendering for simulation, games, cloud computing, or VFX Base Salary ...
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 ...
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 ...
... in computer graphics, computer vision and machine learning to design and implement 3D ... models in Apple products. You will both develop new reconstruction algorithms and build the core ...
... in computer graphics, computer vision and machine learning to design and implement 3D ... models in Apple products. You will both develop new reconstruction algorithms and build the core ...
Required : • Practical experience with 3D machine learning - geometric deep learning, graph neural networks, equivariant architectures (e.g., SE(3)/E(3) networks), or diffusion models applied to ...
Required : • Practical experience with 3D machine learning - geometric deep learning, graph neural networks, equivariant architectures (e.g., SE(3)/E(3) networks), or diffusion models applied to ...
Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that ... Experience optimizing ML models for mobile deployment and resource-constrained environments.
Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that ... Experience optimizing ML models for mobile deployment and resource-constrained environments.
Machine Learning 3D Reconstruction Engineer
$184K - $324K/yr
... and machine learning to design and implement 3D reconstruction algorithms that power large-scale ... models in Apple products. You will both develop new reconstruction algorithms and build the core ...
Machine Learning 3D Reconstruction Engineer
$184K - $324K/yr
... and machine learning to design and implement 3D reconstruction algorithms that power large-scale ... models in Apple products. You will both develop new reconstruction algorithms and build the core ...
Machine Learning Engineer - Multimodal Modeling
San Francisco, CA · On-site
$250K - $295K/yr
This work brings physical simulation, rich 3D representations of real assets, and broader business ... Machine Learning team within Stand Applied Science. You will own modeling work end-to-end, from ...
Machine Learning Engineer - Multimodal Modeling
San Francisco, CA · On-site
$250K - $295K/yr
This work brings physical simulation, rich 3D representations of real assets, and broader business ... Machine Learning team within Stand Applied Science. You will own modeling work end-to-end, from ...
Machine Learning Engineer - 3D Sensor Simulation
Foster City, CA · On-site
$176K - $257K/yr
Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender. * Experience in 3D rendering for simulation, games, cloud computing, or VFX About Zoox ...
Quick apply
Machine Learning Engineer - 3D Sensor Simulation
Foster City, CA · On-site
$176K - $257K/yr
Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender. * Experience in 3D rendering for simulation, games, cloud computing, or VFX About Zoox ...
Machine Learning Engineer - 3D Sensor Simulation
Foster City, CA · On-site
$176K - $257K/yr
Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender. * Experience in 3D rendering for simulation, games, cloud computing, or VFX $176,000 ...
Machine Learning Engineer - 3D Sensor Simulation
Foster City, CA · On-site
$176K - $257K/yr
Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender. * Experience in 3D rendering for simulation, games, cloud computing, or VFX $176,000 ...
Our team is a diverse, and collaborative group of machine learning (ML) engineers, software ... Deep expertise in 3D World Modeling or 3D computer vision. * Familiarity with 3D reconstruction and ...
Our team is a diverse, and collaborative group of machine learning (ML) engineers, software ... Deep expertise in 3D World Modeling or 3D computer vision. * Familiarity with 3D reconstruction and ...
Machine Learning Engineer - 3D Sensor Simulation
Foster City, CA · On-site
$176K - $257K/yr
Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender. * Experience in 3D rendering for simulation, games, cloud computing, or VFX $176,000 ...
Machine Learning Engineer - 3D Sensor Simulation
Foster City, CA · On-site
$176K - $257K/yr
Experience with generative models for 3D content pipelines using applications like Houdini, Maya, or Blender. * Experience in 3D rendering for simulation, games, cloud computing, or VFX $176,000 ...
Practical experience with 3D machine learning - geometric deep learning, graph neural networks, equivariant architectures (e.g., SE(3)/E(3) networks), or diffusion models applied to molecular data
Practical experience with 3D machine learning - geometric deep learning, graph neural networks, equivariant architectures (e.g., SE(3)/E(3) networks), or diffusion models applied to molecular data
Computer Vision Engineer - 3D
Irvine, CA · On-site
$119K - $141K/yr
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.
Quick apply
Computer Vision Engineer - 3D
Irvine, CA · On-site
$119K - $141K/yr
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.
Experience optimizing ML models for mobile deployment and resource-constrained environments ... Experience developing 3D and/or 4D computer vision algorithms and systems. Proficiency in Python ...
Experience optimizing ML models for mobile deployment and resource-constrained environments ... Experience developing 3D and/or 4D computer vision algorithms and systems. Proficiency in Python ...
3D Machine Modeling information
What is the difference between 3D Machine Modeling vs 3D CAD Designer?
| Aspect | 3D Machine Modeling | 3D CAD Designer |
|---|---|---|
| Credentials | Technical certifications in CAD and mechanical design | CAD software certifications, engineering background |
| Work Environment | Manufacturing, engineering firms, product development | Design studios, engineering departments, manufacturing |
| Industry Usage | Mechanical systems, machinery, industrial equipment | Product 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:
Full-time
Posted 13 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.
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.