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3D Machine Modeling Jobs in California (NOW HIRING)

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

$175K - $275K/yr

Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data. * Work closely with data ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

$175K - $275K/yr

Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data. * Work closely with data ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

$175K - $275K/yr

Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data. * Work closely with data ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

$175K - $275K/yr

Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data. * Work closely with data ...

Apple

CVML Engineer - 3D Reconstruction

Sunnyvale, CA

$150K - $277K/yr

Our team delivers cutting-edge computer vision, machine learning, and graphics algorithms that ... Experience optimizing ML models for mobile deployment and resource-constrained environments.

Apple

CVML Engineer - 3D Reconstruction

Sunnyvale, CA · On-site

$216K - $324K/yr

Our team delivers cutting-edge computer vision, machine learning, and graphics algorithms that ... Experience optimizing ML models for mobile deployment and resource-constrained environments.

Koobz

3D Printing Process Engineer

Ventura, CA

$80K - $120K/yr

Our VC-backed company is pushing the limits of 3D printing, machine vision, robotics, and ... Collaborate with cross-functional teams to design and refine CAD models, primarily using SolidWorks.

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

... AI models into tools that are useful and used. You've shipped ML systems end-to-end and at scale ... Explore and manipulate 3D point cloud & mesh data * Own the delivery of technical workstreams

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

... AI models into tools that are useful and used. You've shipped ML systems end-to-end and at scale ... Explore and manipulate 3D point cloud & mesh data * Own the delivery of technical workstreams

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All Jobs3D Machine Modeling Jobs3D Machine Modeling Jobs in California

3D Machine Modeling information

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 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:

3D Machine Modeling jobs near you
Infographic showing various 3D Machine Modeling job openings in California as of August 2026, with employment types broken down into 80% Full Time, 13% Part Time, 1% Temporary, 4% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Machine Learning Engineer

Abaka AI

Mountain View, CA • On-site

$175K - $275K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 3 days ago

Key responsibilities

  • Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.

  • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.

  • Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.

Job description

About Abaka AI
Abaka AI is built on one mission: to be the world's most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley-and teams in Paris, Singapore, and Tokyo-we support global partners with fast, reliable, and scalable data solutions.
Our offerings include a diverse catalog of off-the-shelf datasets (image, video, multimodal, reasoning, 3D, and beyond) as well as comprehensive data collection and annotation services. Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems.
About the Role
We're hiring our first Machine Learning Engineer in the United States, a foundational role that will shape how Abaka builds, trains, and optimizes multimodal AI systems. You will own the design and development of scalable training pipelines, work directly with our data engineering and research teams, and help drive the technical roadmap for model development across multiple modalities.
As an early member of the engineering team, you will influence core decisions around model training strategy, experimentation frameworks, distributed infrastructure, and internal best practices. Your work will directly impact the performance of frontier models trained on Abaka datasets and will help elevate the technical bar for our clients and partners.
If you thrive in high-ownership environments and want to shape the machine learning foundation of a fast-moving AI company, this role offers an opportunity to make an immediate and lasting impact.
Responsibilities
  • Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.
  • Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
  • Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
  • Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
  • Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
  • Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
  • Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.

Qualifications
  • Strong academic background in computer science, artificial intelligence, machine learning, or related fields. Master's degree or Ph.D. is preferred.
  • 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
  • Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
  • Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
  • Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
  • Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
  • Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
  • Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.

Compensation & Benefits
The base salary range for this position is $175,000 - $275,000 USD annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Abaka AI. This role is eligible for equity, as well as a comprehensive benefits package (health, dental, vision, PTO, flexible work schedule).

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