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3D Machine Learning Jobs in St Louis, MO (NOW HIRING)

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3D Machine Learning information

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$24.8K

$41.4K

$85.6K

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

As of Sep 6, 2026, the average yearly pay for 3d machine learning in St. Louis, MO is $41,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 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 St. Louis, MO?

For 3D Machine Learning jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching 3D Machine Learning jobs in St. Louis, MO look for?

The top searched job categories for 3D Machine Learning jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for 3D Machine Learning jobs?

Cities near St. Louis, MO with the most 3D Machine Learning job openings:

Infographic showing various 3D Machine Learning job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 22% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,401 per year, or $19.9 per hour.

Manufacturing Process Engineer (40566)

Young Innovations

Earth City, MO • On-site

$80 - $100K/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Young Innovations rating

6.5

Company rating: 6.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Company Summary:

At Young Innovations, we foster a dynamic environment where team members make an impact every day as part of a collaborative, inclusive culture. Together, we serve the dental profession and their patients, united in our mission of achieving a Lifetime of Oral Health

We embrace diverse perspectives and encourage bold thinking, challenging traditional approaches with a bias for action. Whether you're looking to expand your skills or grow your career, Young is here to support your goals and continuous learning. At Young, YOU are at the core of what we do.

Position Overview:

Reporting to the Engineering Manager, the Manufacturing Process Engineer is responsible for supporting Manufacturing Operations through application of root cause analysis, disciplined problem solving, continuous improvement mindset, focus on waste reduction, communication and project management skills. This position will participate in and/or lead cross functional teams focused on new product launches, process improvement projects, capital and automation projects, supply chain improvement initiatives. This position will interface directly with all levels of manufacturing and will be accountable for the principal job functions listed below.

You'll like this role if:

  • You enjoy hands-on manufacturing, solving complex and challenging scenarios, adapting to changing and challenging situations through creative and collaborative problem solving.

Why You'll Love Working Here:

  • Medium sized company - not too big, not too small - just enough to get things done and see your impact.
  • Did we say benefits? Full medical, dental, vision, 401k, parental leave, paid holidays, paid time off, and more!
  • Supplying high-quality products designed to improve the clinical experience for dental professionals and patients.

Who you'll work with:

  • Engineering, Quality, Maintenance, all levels of manufacturing.

What You'll Do:

  • Drive continuous improvement initiatives in processes, tooling, and workflow efficiency.
    • Investigate and resolve scrap, cycle time, and process variability issues.
    • Collaborate with production, tooling, and maintenance teams to improve reliability and efficiency of current equipment.
    • Develop and refine standard process procedures to ensure high quality and process repeatability.
  • Lead and manage process improvement projects and transfer to manufacturing activities.
    • Provide technical input on tool/equipment design, tooling specifications, and manufacturing feasibility.
    • Oversee and document tooling/equipment trials, process validations, and process optimization.
    • Develop project timelines, monitor progress, and proactively address risks or delays.
    • Maintain clear communication with stakeholders on project status, risks, and deliverables.
    • Manage vendor quotation process - request, review, and compare supplier offers to ensure cost competitiveness and technical compliance.
    • Assist with tooling reviews and design feedback using CAD and 3D modeling software.
    • Support cost estimation, budgeting, and resource planning for projects.

What You'll Bring:

  • Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or related field preferred.
  • Minimum 2 years of experience in Process Engineering, or equivalent combination of education/experience.
  • Experience with project management tools and methodologies.
  • Knowledge of manufacturing processes: automated assembly, packaging, laser marking, pad printing, manual assembly is an advantage.
  • Excellent problem-solving skills and attention to detail.
  • Ability to manage multiple projects simultaneously under tight deadlines and adapt to changing priorities.
  • Strong oral and written communication and interpersonal skills for cross-functional collaboration.
  • Knowledge of CAD software (e.g., SolidWorks, CATIA)
  • Familiarity with Lean Manufacturing and Six Sigma principles is an advantage.
  • Must be detail oriented and able to work on multiple projects with minimal direction/supervision.

Compensation Range: $80-$100k

The pay range reflects the minimum and maximum target for the position at the time of posting. Within the range, the compensation will be determined based on education/training, skill set, experience, and other organizational needs.

Physical Requirements/Working Locations -

Manufacturing/Distribution Environment

This position operates in a manufacturing plant environment. The role routinely involves working around machinery, equipment, and moving mechanical parts. The facility may be subject to varying temperatures, loud noise levels, and airborne particles such as dust or chemical fumes, depending on the area of the plant. This role may require periods of standing, sitting, or walking throughout the workday. Occasional bending, lifting, or carrying items up to 50 pounds may be necessary.

Specific vision abilities required by this job include close vision, depth perception and ability to adjust focus. While performing the duties of this Job, the employee is regularly required to sit; use hands to finger, handle, control, or feel; reach with hands and arms and talk. Hearing abilities required for this environment include being able to clearly hear and respond to audible alarms, production equipment, forklifts, and other machinery to maintain a safe work environment. Individuals must be able to distinguish and understand verbal communication including instructions, safety warnings, and team discussions, sometimes in an environment with moderate to high background noise.

Young Innovations, Inc. is an Equal Opportunity Employer and E-Verify participating employer.


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About Young Innovations

Sourced by ZipRecruiter

Industry

Manufacturing and medical equipment and supplies manufacturing

Company size

201 - 500 Employees

Headquarters location

Earth City, MO, US