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3D Lab Jobs in California (NOW HIRING)

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field ...

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field ...

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field ...

Ensure all machines are clean, lubricated, and safe for use. * 3D Printer Farm & Clean Lab Management: Oversee a high-throughput additive manufacturing suite, including an FDM printer farm, SLA ...

Ensure all machines are clean, lubricated, and safe for use. * 3D Printer Farm & Clean Lab Management: Oversee a high-throughput additive manufacturing suite, including an FDM printer farm, SLA ...

Lab Spares Technician

Santa Clara, CA · On-site

$22.25 - $29.75/hr

Escalate up on 3D forms Outbound material: Send out items (72 hours) WOSM Sweep/Audit for missing ... Lab Spares Tech - Days M-F 8:30am to 5pm * Lab Spares Tech - Swing M-F 12:30pm to 9pm * NOTE ...

Lab Spares Technician

Santa Clara, CA · On-site

$22.50 - $29.75/hr

Escalate up on 3D forms Outbound material: Send out items (72 hours) WOSM Sweep/Audit for missing ... Lab Spares Tech - Days M-F 8:30am to 5pm * Lab Spares Tech - Swing M-F 12:30pm to 9pm * NOTE ...

Lab Spares Technician

Santa Clara, CA · On-site

$22.50 - $29.75/hr

Escalate up on 3D forms Outbound material: Send out items (72 hours) WOSM Sweep/Audit for missing ... Lab Spares Tech - Days M-F 8:30am to 5pm * Lab Spares Tech - Swing M-F 12:30pm to 9pm * NOTE ...

Lab Tech

Irvine, CA

$26.40 - $33/hr

Responsible for cell culturing 2D monolayer cells, 3D skin model and ex vivo samples. * Responsible ... Have worked in academia/pharmaceutical laboratory setting as lab technician/lab assistant.

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3D Lab information

What is a 3D lab and what does it do?

A 3D lab is a specialized facility equipped with advanced technology for creating, scanning, and printing three-dimensional objects. These labs typically support research, education, and product development by providing access to 3D printers, scanners, modeling software, and other prototyping tools. Users can design and fabricate prototypes, models, or components in various materials, making 3D labs valuable in fields like engineering, medicine, architecture, and art. The lab staff often assist with technical support, training, and project guidance.

What are some common challenges faced by professionals working in a 3D lab, and how can they be addressed?

Professionals in a 3D lab often encounter challenges such as troubleshooting complex 3D printers, managing tight project deadlines, and ensuring consistent print quality. Collaboration with designers and engineers is essential to resolve design-for-manufacturability issues and optimize prototypes. To address these challenges, it's important to stay updated on the latest 3D printing technologies, maintain organized workflows, and communicate proactively with team members to anticipate and resolve technical or logistical obstacles.

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

To thrive as a 3D Lab Technician, you need a solid background in 3D modeling, computer-aided design (CAD), and an understanding of digital fabrication processes, often supported by a relevant technical degree or certification. Familiarity with 3D printers, scanning equipment, and software such as Autodesk, SolidWorks, or Blender is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills in this role. These qualifications ensure precise project execution, innovative solutions, and efficient collaboration in a technology-driven environment.

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

Aspect3D Lab
Required CredentialsTypically a degree or certification in 3D design, animation, or related fields
Work EnvironmentLaboratories, studios, or facilities with specialized equipment for 3D printing, scanning, or prototyping
Employer & Industry UsageUsed by research institutions, manufacturing, and entertainment industries for development and testing

While a 3D Lab refers to a physical space or facility focused on 3D technology and prototyping, a 3D Modeler is a professional who creates digital 3D models. The lab provides the environment and tools, whereas the modeler produces the digital assets used in various projects. Both roles are interconnected but serve different functions within the 3D industry.

What cities in California are hiring for 3D Lab jobs? Cities in California with the most 3D Lab job openings:
Infographic showing various 3D Lab job openings in California as of June 2026, with employment types broken down into 80% Full Time, 15% Part Time, and 5% Contract. Highlights an 100% In-person job distribution.

3D Machine Learning Engineer

FieldAI

Irvine, CA

Full-time

Posted 10 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 statu

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.