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Live In 3D Props Modeling Jobs in California (NOW HIRING)

Array Labs

3D Reconstruction Scientist

Redwood City, CA · On-site

$150K - $300K/yr

Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow ... Optimize algorithms for near real-time production of 3D imagery in our cloud-based production ...

Avala AI, Inc

3D Computer Vision Engineer

San Francisco, CA · On-site

$130K - $190K/yr

... in 3D vision, neural rendering, and large-scale data processing. What You'll Bring * 3D Vision & Graphics Expertise : Experience with camera models, multi-view geometry, rendering pipelines, and one ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

... high model performance and generalization. What You Have * Bachelor's or Master's degree in ... Strong background in 3D machine learning, with experience in deep learning for point clouds, multi ...

M&S Consulting

3D Animator

Pasadena, CA · On-site +1

Our commitment to delivery in complex environments and long-term customer success has merged ... Model, texture, shade, and light assets for high-quality scientific and technical visualization

FieldAI

3D Machine Learning Engineer

Irvine, CA

... high model performance and generalization. What You Have * Bachelor's or Master's degree in ... Strong background in 3D machine learning, with experience in deep learning for point clouds, multi ...

Avala

3D Computer Vision Engineer

San Francisco, CA · On-site

$130K - $190K/yr

... in 3D vision, neural rendering, and large-scale data processing. What You'll Bring * 3D Vision & Graphics Expertise: Experience with camera models, multi-view geometry, rendering pipelines, and one ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

... high model performance and generalization. What You Have * Bachelor's or Master's degree in ... Strong background in 3D machine learning, with experience in deep learning for point clouds, multi ...

Array Labs

3D Reconstruction Scientist

Redwood City, CA · On-site

$150K - $300K/yr

Today, most geospatial systems are built around flat imagery, incomplete elevation models, slow ... Optimize algorithms for near real-time production of 3D imagery in our cloud-based production ...

INSPYR Solutions

3D Artist

Menlo Park, CA · On-site

$50 - $80/hr

Title: 3D Artist Location: Remote US Duration: 8 months + Extensions Compensation: $50-80/hr Work ... The ideal candidate excels in creating precise, visually compelling models of product-based objects ...

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Live In 3D Props Modeling information

Is 3D Modeling still in demand?

3D modeling, including roles like live-in 3D props modeling, remains in demand across industries such as gaming, film, virtual reality, and advertising. Skilled 3D artists proficient in software like Blender, Maya, or ZBrush are sought after for creating detailed assets and immersive environments, with demand expected to grow as digital content continues to expand.

Is 3D Modeling a high paying job?

Live In 3D Props Modeling can be a well-paying profession, especially for those with strong skills in software like Blender or Maya and experience in the entertainment or gaming industries. Salaries vary based on experience, location, and project complexity, but skilled 3D modelers often earn competitive wages compared to other creative roles.

How much does a 3D prop artist make?

A live-in 3D props modeling artist typically earns between $40,000 and $70,000 annually, depending on experience, skill level, and location. Salaries can vary based on the complexity of projects and the employer, with some artists earning higher with specialized skills in software like Blender or Maya.

What is the difference between Live In 3D Props Modeling vs 3D Environment Artist?

AspectLive In 3D Props Modeling3D Environment Artist
CredentialsProficiency in 3D modeling software, portfolio showcasing propsProficiency in environment creation, texturing, and scene composition
Work EnvironmentFilm, TV, or virtual production sets requiring detailed propsGame studios, film, or VR projects focusing on immersive environments
Industry UsageUsed in live-action productions, virtual sets, and real-time renderingUsed in gaming, film, and virtual reality for scene creation

While both roles involve 3D modeling skills, Live In 3D Props Modeling focuses on creating detailed props for live or virtual sets, whereas 3D Environment Artists design entire scenes and environments. The choice depends on whether you prefer working on individual objects or full environments within the industry.

How much do 3D modellers earn?

3D props modeling professionals typically earn between $40,000 and $80,000 annually, depending on experience, location, and industry. Entry-level modellers may start lower, while experienced artists with specialized skills or working in high-demand sectors can earn higher salaries.
What are the most commonly searched types of 3D Props Modeling jobs in California? The most popular types of 3D Props Modeling jobs in California are:
What are popular job titles related to Live In 3D Props Modeling jobs in California? For Live In 3D Props Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Live In 3D Props Modeling jobs in California look for? The top searched job categories for Live In 3D Props Modeling jobs in California are:
What cities in California are hiring for Live In 3D Props Modeling jobs? Cities in California with the most Live In 3D Props Modeling job openings:
Live In 3D Props Modeling jobs near you
Infographic showing various Live In 3D Props Modeling job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Software Engineer, 3D Computer Vision

FieldAI

Irvine, CA

$135K - $170K/yr

Full-time

Posted 2 days ago

Job description


Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
What You Get To Do:
  • Develop and optimize point cloud processing pipelines, including registration, denoising, normal estimation, segmentation, and primitive extraction
  • Design efficient algorithms for large-scale, unstructured 3D datasets with attention to memory and runtime performance
  • Implement production-grade computational geometry and linear algebra in C++ and Python
  • Solve complex reconstruction challenges such as loop closure, global consistency, and multi-view fusion
  • Evaluate and integrate emerging 3D vision methods (e.g., neural implicit representations, advanced meshing techniques)
  • Partner with platform teams to ensure scalable, efficient deployment of algorithms
What You Bring:
  • 2+ years of experience in Computer Vision, Computational Geometry, or 3D-focused Software Engineering
  • Master's or Ph.D. in Computer Science, Applied Mathematics, or related field with specialization in 3D vision or geometric processing
  • Strong proficiency in modern C++ (C++14/17) and Python
  • Solid mathematical foundation in 3D geometry, linear algebra, rigid body transformations (SE(3), quaternions), and projective geometry
  • Deep experience with point cloud algorithms (ICP, GICP, RANSAC, NDT, region growing) and spatial data structures (k-d trees, octrees, voxel grids)
  • Hands-on experience with libraries such as PCL, Open3D, Eigen, or Ceres
  • Familiarity with common 3D data formats (PCD, PLY, E57, LAS)
  • Strong problem-solving skills and ability to translate academic research into production-ready code
What Sets You Apart:
  • Experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) for bundle adjustment or pose graph optimization
  • Background in SLAM or Structure from Motion (SfM) pipelines
  • Experience processing LiDAR, RGB-D, or photogrammetry datasets
  • Familiarity with Linux development environments and containerization (Docker)
  • Exposure to ROS (not required)
  • Knowledge of survey-grade accuracy standards and georeferencing algorithms
$135,000 - $170,000 a year
Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. 

Why Join Field AI?
We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution
To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates. 

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!



We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, 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.
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