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3D Machine Learning Jobs in Valencia, CA (NOW HIRING)

Utilize insights into how the machine shop integrates with broader engineering and research ... High level of familiarity with multi-axis and 3D machining. * Experience with 5th axis milling, and ...

You'll work with advanced multi-axis CNC machines that transform 3D-printed metal parts into ... We have an inclusive and diverse culture that values collaboration, learning, and making deliberate ...

You'll work with advanced multi-axis CNC machines that transform 3D-printed metal parts into ... We have an inclusive and diverse culture that values collaboration, learning, and making deliberate ...

You'll work with advanced multi-axis CNC machines that transform 3D-printed metal parts into ... We have an inclusive and diverse culture that values collaboration, learning, and making deliberate ...

By combining computer vision, image processing and machine learning, you'll develop custom models ... 3D reconstruction and target classification * Track record optimizing neural networks and geometric ...

By combining computer vision, image processing and machine learning, you'll develop custom models ... 3D reconstruction and target classification * Track record optimizing neural networks and geometric ...

Showing results 41-60

3D Machine Learning information

See Valencia, CA salary details

$25.8K

$43.1K

$89.1K

How much do 3d machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for 3d machine learning in Valencia, CA is $43,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,900.00 and $46,600.00 per year, depending on experience, location, and employer.

What is 3d machine learning?

3D machine learning is a field of artificial intelligence focused on developing algorithms and models that can process and understand three-dimensional data. This includes tasks such as object recognition, scene reconstruction, segmentation, and analysis using 3D data formats like point clouds, meshes, or volumetric grids. Applications of 3D machine learning are found in areas like autonomous driving, robotics, medical imaging, and augmented reality. The field combines techniques from computer vision, deep learning, and geometry processing to interpret complex spatial information.

What are the key skills and qualifications needed to thrive as a 3d machine learning engineer, and why are they important?

To thrive as a 3D Machine Learning Engineer, you need a solid background in computer science, mathematics, and experience with 3D data processing and machine learning algorithms, typically supported by a relevant degree. Expertise in tools and frameworks like Python, PyTorch or TensorFlow, and libraries such as Open3D or PCL is commonly required, along with familiarity with 3D data formats. Strong problem-solving skills, creativity, and effective communication set top performers apart in this role. These skills enable the development of innovative solutions for complex 3D data challenges, which are crucial for advancements in fields like robotics, computer vision, and AR/VR.

What are some common challenges faced by professionals working in 3d machine learning, and how can they be addressed?

Professionals in 3D machine learning often encounter challenges such as handling large and complex datasets, managing high computational requirements, and ensuring model robustness across diverse 3D data types (e.g., point clouds, meshes, voxel grids). Addressing these challenges typically involves using efficient data preprocessing pipelines, leveraging cloud computing or advanced GPU resources, and staying updated with the latest research on 3D data augmentation and model architectures. Collaboration with multidisciplinary teams—including data engineers, computer vision experts, and domain specialists—is also crucial for overcoming technical obstacles and producing practical, scalable solutions.

What is the difference between 3D Machine Learning vs 3D Computer Vision?

Aspect3D Machine Learning3D Computer Vision
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegree in Computer Vision, Computer Science, or related fields; experience with image processing
Work EnvironmentResearch labs, AI development teams, tech companiesImaging labs, robotics, autonomous vehicles, tech firms
Industry UsageDeveloping models for 3D data analysis, sensor data integrationProcessing 3D images, object detection, scene reconstruction

While 3D Machine Learning focuses on creating algorithms that learn from 3D data, 3D Computer Vision emphasizes interpreting and analyzing 3D visual information. Both fields often overlap but serve different primary objectives within AI and imaging applications.

What are popular job titles related to 3D Machine Learning jobs in Valencia, CA?

For 3D Machine Learning jobs in Valencia, CA, the most frequently searched job titles are:

What job categories do people searching 3D Machine Learning jobs in Valencia, CA look for?

The top searched job categories for 3D Machine Learning jobs in Valencia, CA are:

What cities near Valencia, CA are hiring for 3D Machine Learning jobs?

Cities near Valencia, CA with the most 3D Machine Learning job openings:

Infographic showing various 3D Machine Learning job openings in Valencia, CA as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 22% Full Time, 68% Part Time, 2% Temporary, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $43,123 per year, or $20.7 per hour.

Senior Process Engineer (Advanced R&D)

Freeform

Los Angeles, CA

$112K - $144K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

SENIOR PROCESS ENGINEER (ADVANCED R&D)

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Senior Process Engineer at Freeform, you will have the unique opportunity to invent novel processes for the world's most advanced metal 3D printing systems. You will deep dive into complex, multi-physics phenomena to gain a fundamental understanding of the system and use those learnings to create a new state-of-the-art process. You will work alongside an interdisciplinary team of mechanical, software, and simulations engineers to analyze massive in-situ data sets as well as post-print material characteristics and rapidly iterate on improving the printing technology with machine learning. The ideal candidate will be comfortable working in a fast-paced R&D environment, solving very audacious problems from scratch.

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! 

Responsibilities:

  • Develop a deep understanding of the metal additive process and hardware operation by analyzing massive in-situ data sets to gain insight into physical mechanisms of the printing process
  • Work independently to design and execute experiments, analyze data, and develop and optimize processes on a metal additive system
  • Perform post-build metrology measurements and analysis of material properties such as tensile strength, surface roughness, and alloy microstructure
  • Generate and track quality metrics of printed customer parts such as dimensional accuracy, defect distribution, and surface roughness
  • Develop and implement tool qualification procedures
  • Collaborate with mechanical, software, and simulations engineers to analyze data and rapidly improve printing processes
  • Strategize continuous improvement plans to enhance system performance, reliability, and scalability

Basic Qualifications:

  • Bachelor's degree in material science, physics, mechanical engineering, or similar engineering discipline
  • 5+ years of process development experience in complex physics-based applications such as semiconductor, solar, or additive manufacturing
  • Experience developing Design of Experiments (DOE), statistical data analysis, and process optimization
  • Experience gathering and processing large data sets

Nice to Have:

  • Master's or PhD in material science, physics, mechanical engineering
  • Process development experience from cutting edge industries such as semiconductor, solar, or displays
  • Experience with machine learning or data science
  • Experience with statistical data analysis software such as R, JMP, Python, or Minitab
  • Experience with statistical process control and tool health monitoring
  • Experience operating complex equipment
  • Familiarity with metallurgical sample preparation such as cutting, grinding, polishing, acid etching, and optical microscopy
  • Familiarity with programming languages such as MATLAB or Python
  • Passion for developing new processes from scratch
  • Excellent verbal and written communication skills

Location:

  • Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA's deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

  • Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

  • We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
  • We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
  • Benefits
    • Significant stock option packages
    • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
    • Life insurance
    • Traditional and Roth 401(k)
    • Relocation assistance provided 
    • Paid vacation, sick leave, and company holidays
    • Generous Paid Parental Leave and extended transition back to work for the birthing parent
    • Free daily catered lunch and dinner, and fully stocked kitchenette
    • Casual dress, flexible work hours, and regular catered team building events
  • Compensation  
    • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company's current stage of development and allows the employee to grow and develop within a role. 
    • In addition to the significant stock option package, the estimated salary range for this role is $140,000-$200,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
  • Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, 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.