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3D Machine Learning Jobs in Columbus, OH (NOW HIRING)

Electrical Technologist

Dublin, OH · On-site

$60 - $80/hr

... Drives)Circuit board design & 3D printingAudio/video editing & installationPhysical ... Must be able to operate computers, test equipment, and machinery as needed.Willingness to travel ...

Electrical Technologist

Dublin, OH · On-site

$60 - $80/hr

... 3D printing + Audio/video editing & installation**Physical Requirements*** Ability to lift and move ... Must be able to operate computers, test equipment, and machinery as needed.* Willingness to travel ...

This will require expertise in mechanical troubleshooting, precision machining, blueprint reading ... learning and executing detailed inspection processes necessary to ensure a quality product in a ...

QUALITY INSPECTOR

Ashville, OH · On-site

$28 - $37/hr

This will require expertise in mechanical troubleshooting, precision machining, blueprint reading ... learning and executing detailed inspection processes necessary to ensure a quality product in a ...

Showing results 21-40

3D Machine Learning information

See Columbus, OH salary details

$24.6K

$41.1K

$85K

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

As of Sep 8, 2026, the average yearly pay for 3d machine learning in Columbus, OH is $41,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,400.00 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 Columbus, OH?

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

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

The top searched job categories for 3D Machine Learning jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for 3D Machine Learning jobs?

Cities near Columbus, OH with the most 3D Machine Learning job openings:

Infographic showing various 3D Machine Learning job openings in Columbus, OH as of June 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,131 per year, or $19.8 per hour.

Production Equipment Senior Engineer

Honda Dev. and Mfg. of Am.,LLC

Marysville, OH

$81K - $101K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

What Makes a Honda, is Who makes a Honda
Honda has a clear vision for the future, and it’s a joyful one.  We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success.  We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

Job Purpose

Work as part of a multi-discipline team to introduce and implement equipment required for new model introduction into Honda facilities.  By leveraging 3D CAD software and simulation tools, they will need to identify key change points and summarize into a specification that fixes design requirements.  This individual will be asked to drive forward projects and activity as functional Project Leader, Person In Charge(PIC), or Subject Matter Expert, from inception through the handoff to final design/assy.  They will be asked to focus on characteristic improvements, which align with the Business Unit strategy and regional goals. They will be asked to collaborate with the design team and plant members in order to achieve required quality, cost, and safety criteria.

Key Accountabilities
  • Development of optimal machine concepts for any process characteristic change; by utilizing fundamentally sound engineering principles.
  • Provides technical support of equipment/process and the ability to feed/indirectly support the Project Leadership function. 
  • Support correlation with external functions (ex. external suppliers or plant resources).
  • Functionally act as direct project leaders for small/midsized business plan projects, driving forward the project from an engineering perspective.
  • Perform detailed process studies of new model car part to understand machine capability, feeding back issues to car part designers as needed.
  • Creation of Specification/Scope of work documentation to summarize changepoints, establish criteria and process/part flow.
  • Online support during the installation phase of the project, linked to verifying spec criteria.
  • Create and maintain a critical path schedule to maintain overall project milestones
Qualifications, Experience, and Skills

Minimum Educational Qualifications:

  • Bachelor’s degree in Mechanical Engineering, or Industrial Engineering or equivalent work experience.

Minimum Experience:

  • Minimum 2 years of relevant experience.

Other Job-Specific Skills:

  • Knowledge of 3D CAD systems and software
  • Background in automated equipment development
  • Excellent technical communication skills (both written and oral)

Visa Sponsorship:

  • This position is not eligible for work visa sponsorship.
Working Conditions
  • 85% Office environment – creation of specification documentation. 
  • 15% Manufacturing floor – direct line side investigation / system-up support / verification at any Honda facility
  • Must be willing to travel locally, regional, and internationally as required on a project basis (to Honda facilities or external equipment vendors).

What differentiates Honda and make us an employer of choice?

Total Rewards:

  • Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
  • Paid Overtime
  • Regional Bonus (when applicable)
  • Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) 
  • Paid time off, including vacation, holidays, shutdown
  • Company Paid Short-Term and Long-Term Disability 
  • 401K Plan with company match + additional contribution
  • Relocation assistance (if eligible)

Career Growth:

  • Advancement Opportunities
  • Career Mobility  
  • Education Reimbursement for Continued Learning
  • Training and Development programs 

Additional Offerings:

  • Tuition Assistance & Student Loan Repayment
  • Lifestyle Account
  • Childcare Reimbursement Account
  • Elder Care Support
  • Wellbeing Program
  • Community Service and Engagement Programs
  • Product Programs

Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.