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3D Data Jobs (NOW HIRING)

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

CXC

Full Stack Engineer - 3D Modeling

Plano, TX · On-site

Understanding of AI governance, responsible AI practices, data privacy, and security considerations ... Knowledge of 3D asset pipelines, optimization techniques, and rendering performance tuning.

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

Kurita Europe GmbH

Piping BIM Engineer

Phoenix, AZ · On-site

$100 - $125/hr

Based on P&ID, we develop 3D model designs for piping and supports. * Execution of collision detection and collaborative resolution * Updating and managing model data including attribute information

Kurita America Inc.

Piping BIM Engineer

Phoenix, AZ · On-site

$92K - $110K/yr

Based on P&ID, develop 3D model designs for piping and supports. * Execution of collision detection and collaborative resolution * Updating and managing model data including attribute information

IntelliPro Group Inc.

Data Annotator

San Francisco, CA · On-site

$35 - $40/hr

Annotate visual 3D data (LiDAR/Point Cloud) and 2D camera imagery using bounding boxes, cuboids, polygons, and pixel-level semantic segmentation. * Identify, label, and classify objects and ...

Kurita Europe GmbH

Piping BIM Engineer

Phoenix, AZ · On-site

$92K - $110K/yr

Based on P&ID, we develop 3D model designs for piping and supports. * Execution of collision detection and collaborative resolution * Updating and managing model data including attribute information

Kurita America Inc.

Piping BIM Engineer

Phoenix, AZ · On-site

$92K - $110K/yr

Based on P&ID, develop 3D model designs for piping and supports. * Execution of collision detection and collaborative resolution * Updating and managing model data including attribute information

Kurita America Inc

Piping BIM Engineer

Phoenix, AZ · On-site

$100 - $125/hr

Based on P&ID, develop 3D model designs for piping and supports. * Execution of collision detection and collaborative resolution. * Updating and managing model data including attribute information.

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3d Data information

What is 3D data?

3D data refers to information that describes the shape, structure, and appearance of objects in three-dimensional space. This data is often captured through technologies like 3D scanning, photogrammetry, or computer-generated modeling, and it is commonly used in industries such as gaming, animation, engineering, and healthcare. 3D data can include coordinates, textures, colors, and other attributes that help create realistic digital representations of physical objects. Managing and analyzing 3D data requires specialized software and expertise.

What are some typical challenges faced by professionals working with 3D data, and how can they be addressed?

Professionals working with 3D data often encounter challenges such as managing large file sizes, ensuring data accuracy, and integrating data from multiple sources. Effective collaboration with cross-functional teams—such as software engineers, designers, and data analysts—is key to overcoming these hurdles. Utilizing efficient data processing pipelines and staying updated on the latest 3D modeling tools can help manage complexity and improve workflow. Proactive communication and continuous learning are essential for adapting to evolving project requirements and technologies.

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

To thrive as a 3D Data Specialist, you need strong spatial reasoning, proficiency in 3D modeling concepts, and a background in computer science, engineering, or a related field. Familiarity with tools like Autodesk Maya, Blender, CAD software, and experience with 3D data formats and GIS systems are typically required. Attention to detail, problem-solving abilities, and effective communication help professionals excel in collaborating with multidisciplinary teams and managing complex datasets. These skills and qualities are crucial for producing accurate 3D representations and supporting decision-making in industries such as architecture, gaming, and geospatial analysis.

What is the difference between 3D Data vs 3D Modeler?

Aspect3D Data3D Modeler
Required skillsData collection, processing, and management of 3D datasetsCreating, designing, and modeling 3D objects and environments
Work environmentData labs, scanning sites, software for data processingDesign studios, animation, gaming, and film production
Common toolsLiDAR, photogrammetry software, CAD for data handlingBlender, Maya, 3ds Max for modeling and rendering
Industry usageGeospatial, surveying, virtual reality, simulationEntertainment, gaming, product design, architecture

While 3D Data involves collecting and managing raw 3D information, 3D Modelers focus on creating visual 3D models for various media. Both roles require technical skills but serve different stages of the 3D content pipeline.

More about 3d Data jobs

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

The top searched job categories for 3D Data jobs are:

What other helpful pages are available for 3D Data?

Other pages related to 3D Data:

3d Data jobs near you
Infographic showing various 3D Data job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

3D Machine Learning Engineer

Irvine, CA • On-site

FieldAI
201 - 500 employees
Learn more about FieldAIexternal

$150K - $200K/yr

Full-time

Re-posted 20 days ago

Job description

FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You’ll Do
  • 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.
What You Have
  • 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.
The Extras That Set You Apart
  • 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.
Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
 
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
 
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
 
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
 
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.