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3D Machine Learning Jobs in Greenville, SC (NOW HIRING)

3D Machine Learning information

See Greenville, SC salary details

$24K

$40K

$82.7K

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

As of Aug 20, 2026, the average yearly pay for 3d machine learning in Greenville, SC is $40,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,600.00 and $43,300.00 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 Greenville, SC?

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

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

The top searched job categories for 3D Machine Learning jobs in Greenville, SC are:

What cities near Greenville, SC are hiring for 3D Machine Learning jobs?

Cities near Greenville, SC with the most 3D Machine Learning job openings:

GE Vernova Advanced Manufacturing & Technology Engineer

A01242 GE Gas Turbines (Greenville) L.L.C.

Greenville, SC • On-site

$72 - $108/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

New


Job description

Job Description Summary

The Advanced Manufacturing & Technology Engineer is a versatile, hands-on engineering role that will provide experiences across various advanced manufacturing and repair technologies within GE Vernova. Work alongside global development teams to develop, industrialize and maintain new repair technologies that allow our products to perform over their lifecycle. The role emphasizes continuous improvement, quality assurance, and global collaboration.

Job Description Roles and Responsibilities
  • Assist in the qualification and deployment of advanced manufacturing and repair technologies.
  • Experiment and develop automation/robotics, additive, coatings, machining, joining, tooling/fixture design and/or inspection technologies.
  • Determine tolerancing for the repair of gas turbine components utilizing empirical data analytics.
  • Support more senior engineers in identifying opportunities for reverse engineering projects and analyze and resolve Repair Non‑Conformance Notifications (NCNs).
  • Help maintain, lead, and manage repair qualifications for service centers, ensuring compliance and quality control.
  • Participate in Root Cause Analysis (RCA) investigations to address quality and process issues.
  • Engage in Kaizen initiatives to enhance efficiency and assist in maintaining and updating our engineering processes.
  • Collaborate with cross-functional teams including Design Engineering, Supply Chain locations, and Advanced Manufacturing and Repair Technology.
  • Establish and maintain inspection criteria for advanced gas turbine components.
Required Qualifications
  • Bachelor’s or Master's degree in engineering (Mechanical, Mechatronics, Materials, Electrical, Computer Science, or related field) from an accredited college or university.
  • Minimum of 0-2 years of relevant experience in engineering and/or manufacturing.
  • Travel (5-10%) to global engineering centers, service centers and vendor locations.
Eligibility Requirements

The required work location is Greenville, SC (relocation assistance is available) Unrestricted work authorization to work in the United States of America is required. We will not provide sponsorship for this role now or in the future.

What makes you standout
  • Experience performing hands on process development/troubleshooting with any of the following – robotics/automation, additive technologies, fixture development, machining including mills and EDMs, laser applications like cladding and ablation, joining/brazing, metallic and ceramic coating, and inspection technologies.
  • Familiarity with using data analytics including, python, p-code and other computer and classical machine learning programming.
  • Strong focus on safety, quality, execution, and process rigor.
  • Ability to rapidly shift priorities based on business needs.
  • Open-minded, self‑motivated, and empowered to challenge thinking to dream big and take smart risks.
  • Demonstrated capability in collaborating within a team and customers to create an inclusive environment.
  • Strong organizational skills, communicating with transparency to deliver project milestones.
  • Capable of breaking down complex problems and executing to solution.
  • Familiar with AI and possess a continuous improvement (Lean) mindset.
  • Experience in NX or other 3D CAD models and/or design simulation packages with the ability to read mechanical/electrical drawings.
  • Recent university graduate with past internship experience.
Additional Job Description

This role requires access to U.S. export‑controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export‑controlled information from the U.S. Government.

Additional Information

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunities Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. This role requires access to U.S. export‑controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export‑controlled information from the U.S. Government. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening.

Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $72,000.00 and $108,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on July 27, 2026.

Benefits
  • Medical, dental, vision, and prescription drug coverage;
  • Access to Health Coach from GE Vernova, a 24/7 nurse-based resource;
  • Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services;
  • Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants;
  • Tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
Legal and Compliance

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Mission and Values

Addressing the climate crisis is an urgent global priority and we take our responsibility seriously. That is our singular mission at GE Vernova: continuing to electrify the world while simultaneously working to help decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard‑earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. Together, we have The Energy to Change the World. www.gevernova.com

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