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3D Machine Learning Jobs in Phoenix, AZ (NOW HIRING)

PDS Tech Commercial

Metrology Technician

Mesa, AZ

$40/hr

Utilize CAD and 3D inspection software such as PC-DMIS, Verisurf, Geomagic, Polyworks, Spatial ... Ability to fabricate parts using machine tools and hands-on techniques * Strong knowledge of ...

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All Jobs3D Machine Learning Jobs3D Machine Learning Jobs in Phoenix, AZ

3D Machine Learning information

See Phoenix, AZ salary details

$25.3K

$42.3K

$87.4K

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

As of Aug 10, 2026, the average yearly pay for 3d machine learning in Phoenix, AZ is $42,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

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 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 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 Phoenix, AZ? For 3D Machine Learning jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching 3D Machine Learning jobs in Phoenix, AZ look for? The top searched job categories for 3D Machine Learning jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for 3D Machine Learning jobs? Cities near Phoenix, AZ with the most 3D Machine Learning job openings:
3D Machine Learning jobs near you
Infographic showing various 3D Machine Learning job openings in Phoenix, AZ as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $42,282 per year, or $20.3 per hour.

Engineer II, Inspection Technology

LG Energy Solution Arizona

Queen Creek, AZ

Full-time

Re-posted 5 days ago

Job description

Job Summary:

As the Engineer II of Inspection Technology, you will lead prevention of quality issues maximizing yield and Overall Equipment Effectiveness (OEE) through the establishment of inspection systems, improvement of inspection equipment performance, and the introduction of new equipment.

Responsibilities:

Establish and manage the inspection machine standards revision through Process Flow Diagrams for both Preventive and Breakdown Maintenance as well as Process Down Manuals

Analyze system breakdowns or failures to improve false "No Good" rate and determine root causes; identify and implement required improvements

Communicate the installation schedule of vision system equipment to production teams, HQ, and vendors.

Collaborate with vendor support for programming activity of vision systems

Review daily production reports on improvements and KPIs, which are distributed to production teams and HQ

Perform other duties as assigned

Qualifications:

Minimum of 3 years in engineering equipment experience in production/plant environment (including internship or co-op acceptable).

Bachelor's degree in engineering required.

Experience in a manufacturing environment with equipment and processes such as Programmable Logic Controllers, Statistical Process Control, Manufacturing Execution System, etc.)

Experience operating in manufacturing setting with Total Productive and Preventive Maintenance methodologies

Knowledge of Six Sigma

Ability to work flexible hours as needed to support resolution of production abnormalities

Deep understanding of measurement system analysis (MSA) and gage R&R using Minitab

Experience in maintaining in-line inspection systems (Machine Vision, 3D metrology, X-ray, and CT)

Must be able to properly and regularly utilize the following Personal Protective Equipment (PPE) for a period of up to 12 hours

  • Safety glasses
  • Steel-toed shoes

Must be able to perform the following over the course of up to 12 hours per day

  • Lift/push/pull up to 35 pounds on occasion
  • Stoop, twist, bend
  • Reach overhead
  • Sit and/or stand for lengthy periods

Skills:

  • Ability to deal with ambiguity and make sound decisions
  • Effective workflow and process management
  • Planning skills and effective communication of priorities
  • Experience with machine vision algorithm libraries (Halcon, OpenCV) and deep learning models

Apply